{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# A step-by-step introduction to Cohort Analysis in Python"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a Notebook accompanying [this](https://towardsdatascience.com/a-step-by-step-introduction-to-cohort-analysis-in-python-a2cbbd8460ea) article. For a write-up and description of steps, please see the article."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I load the required libraries and configure some settings for plots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:28:51.951506Z",
     "start_time": "2020-03-15T10:28:51.259136Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import warnings\n",
    "import seaborn as sns\n",
    "from operator import attrgetter\n",
    "import matplotlib.colors as mcolors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:28:52.007001Z",
     "start_time": "2020-03-15T10:28:51.992075Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:28:52.053545Z",
     "start_time": "2020-03-15T10:28:52.048574Z"
    }
   },
   "outputs": [],
   "source": [
    "plt.style.use('seaborn')\n",
    "warnings.simplefilter(action='ignore', category=FutureWarning)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the following line, we can download the data directly from the Notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-14T19:10:19.210453Z",
     "start_time": "2020-03-14T19:09:50.584072Z"
    }
   },
   "outputs": [],
   "source": [
    "!wget https://archive.ics.uci.edu/ml/machine-learning-databases/00352/Online%20Retail.xlsx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we load the data from the Excel file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:29:41.092163Z",
     "start_time": "2020-03-15T10:28:54.184564Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1    536365     71053                  WHITE METAL LANTERN         6   \n",
       "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "\n",
       "          InvoiceDate  UnitPrice CustomerID         Country  \n",
       "0 2010-12-01 08:26:00       2.55      17850  United Kingdom  \n",
       "1 2010-12-01 08:26:00       3.39      17850  United Kingdom  \n",
       "2 2010-12-01 08:26:00       2.75      17850  United Kingdom  \n",
       "3 2010-12-01 08:26:00       3.39      17850  United Kingdom  \n",
       "4 2010-12-01 08:26:00       3.39      17850  United Kingdom  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_excel('Online Retail.xlsx',\n",
    "                   dtype={'CustomerID': str,\n",
    "                          'InvoiceID': str},\n",
    "                   parse_dates=['InvoiceDate'], \n",
    "                   infer_datetime_format=True)\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:29:41.340025Z",
     "start_time": "2020-03-15T10:29:41.208142Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 541909 entries, 0 to 541908\n",
      "Data columns (total 8 columns):\n",
      "InvoiceNo      541909 non-null object\n",
      "StockCode      541909 non-null object\n",
      "Description    540455 non-null object\n",
      "Quantity       541909 non-null int64\n",
      "InvoiceDate    541909 non-null datetime64[ns]\n",
      "UnitPrice      541909 non-null float64\n",
      "CustomerID     406829 non-null object\n",
      "Country        541909 non-null object\n",
      "dtypes: datetime64[ns](1), float64(1), int64(1), object(5)\n",
      "memory usage: 33.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:29:41.520775Z",
     "start_time": "2020-03-15T10:29:41.455596Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>622</th>\n",
       "      <td>536414</td>\n",
       "      <td>22139</td>\n",
       "      <td>NaN</td>\n",
       "      <td>56</td>\n",
       "      <td>2010-12-01 11:52:00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1443</th>\n",
       "      <td>536544</td>\n",
       "      <td>21773</td>\n",
       "      <td>DECORATIVE ROSE BATHROOM BOTTLE</td>\n",
       "      <td>1</td>\n",
       "      <td>2010-12-01 14:32:00</td>\n",
       "      <td>2.51</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1444</th>\n",
       "      <td>536544</td>\n",
       "      <td>21774</td>\n",
       "      <td>DECORATIVE CATS BATHROOM BOTTLE</td>\n",
       "      <td>2</td>\n",
       "      <td>2010-12-01 14:32:00</td>\n",
       "      <td>2.51</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1445</th>\n",
       "      <td>536544</td>\n",
       "      <td>21786</td>\n",
       "      <td>POLKADOT RAIN HAT</td>\n",
       "      <td>4</td>\n",
       "      <td>2010-12-01 14:32:00</td>\n",
       "      <td>0.85</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1446</th>\n",
       "      <td>536544</td>\n",
       "      <td>21787</td>\n",
       "      <td>RAIN PONCHO RETROSPOT</td>\n",
       "      <td>2</td>\n",
       "      <td>2010-12-01 14:32:00</td>\n",
       "      <td>1.66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     InvoiceNo StockCode                      Description  Quantity  \\\n",
       "622     536414     22139                              NaN        56   \n",
       "1443    536544     21773  DECORATIVE ROSE BATHROOM BOTTLE         1   \n",
       "1444    536544     21774  DECORATIVE CATS BATHROOM BOTTLE         2   \n",
       "1445    536544     21786               POLKADOT RAIN HAT          4   \n",
       "1446    536544     21787            RAIN PONCHO RETROSPOT         2   \n",
       "\n",
       "             InvoiceDate  UnitPrice CustomerID         Country  \n",
       "622  2010-12-01 11:52:00       0.00        NaN  United Kingdom  \n",
       "1443 2010-12-01 14:32:00       2.51        NaN  United Kingdom  \n",
       "1444 2010-12-01 14:32:00       2.51        NaN  United Kingdom  \n",
       "1445 2010-12-01 14:32:00       0.85        NaN  United Kingdom  \n",
       "1446 2010-12-01 14:32:00       1.66        NaN  United Kingdom  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[pd.isnull(df['CustomerID'])].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataset contains missing values in the `CustomerID` column. That is why we drop such rows from the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:29:41.723974Z",
     "start_time": "2020-03-15T10:29:41.633216Z"
    }
   },
   "outputs": [],
   "source": [
    "df.dropna(subset=['CustomerID'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:29:41.953155Z",
     "start_time": "2020-03-15T10:29:41.855539Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 406829 entries, 0 to 541908\n",
      "Data columns (total 8 columns):\n",
      "InvoiceNo      406829 non-null object\n",
      "StockCode      406829 non-null object\n",
      "Description    406829 non-null object\n",
      "Quantity       406829 non-null int64\n",
      "InvoiceDate    406829 non-null datetime64[ns]\n",
      "UnitPrice      406829 non-null float64\n",
      "CustomerID     406829 non-null object\n",
      "Country        406829 non-null object\n",
      "dtypes: datetime64[ns](1), float64(1), int64(1), object(5)\n",
      "memory usage: 27.9+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EDA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I inspect the distribution of the numeric variables - quantity and unit price."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:29:42.118771Z",
     "start_time": "2020-03-15T10:29:42.061863Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Quantity</th>\n",
       "      <td>406829.0</td>\n",
       "      <td>12.061303</td>\n",
       "      <td>248.693370</td>\n",
       "      <td>-80995.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>12.00</td>\n",
       "      <td>80995.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UnitPrice</th>\n",
       "      <td>406829.0</td>\n",
       "      <td>3.460471</td>\n",
       "      <td>69.315162</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.95</td>\n",
       "      <td>3.75</td>\n",
       "      <td>38970.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              count       mean         std      min   25%   50%    75%  \\\n",
       "Quantity   406829.0  12.061303  248.693370 -80995.0  2.00  5.00  12.00   \n",
       "UnitPrice  406829.0   3.460471   69.315162      0.0  1.25  1.95   3.75   \n",
       "\n",
       "               max  \n",
       "Quantity   80995.0  \n",
       "UnitPrice  38970.0  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe().transpose()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:29:42.231776Z",
     "start_time": "2020-03-15T10:29:42.225245Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8905"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(df.Quantity < 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are around 9k purchases with negative quantity, most likely returns. I will remove them from the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:29:42.377394Z",
     "start_time": "2020-03-15T10:29:42.333877Z"
    }
   },
   "outputs": [],
   "source": [
    "df = df[df['Quantity'] > 0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I calculate an aggregate metric indicating how many orders were placed by each customer and plot the distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:29:42.548521Z",
     "start_time": "2020-03-15T10:29:42.448517Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "65.57% of customers ordered more than once.\n"
     ]
    }
   ],
   "source": [
    "n_orders = df.groupby(['CustomerID'])['InvoiceNo'].nunique()\n",
    "mult_orders_perc = np.sum(n_orders > 1) / df['CustomerID'].nunique()\n",
    "print(f'{100 * mult_orders_perc:.2f}% of customers ordered more than once.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:29:42.901141Z",
     "start_time": "2020-03-15T10:29:42.624944Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 358,
       "width": 504
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.distplot(n_orders, kde=False, hist=True)\n",
    "ax.set(title='Distribution of number of orders per customer',\n",
    "       xlabel='# of orders', \n",
    "       ylabel='# of customers');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cohort analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this part, I carry out the cohort analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:30:04.703872Z",
     "start_time": "2020-03-15T10:30:04.607802Z"
    }
   },
   "outputs": [],
   "source": [
    "# keep only the relevant data\n",
    "df = df[['CustomerID', 'InvoiceNo', 'InvoiceDate']].drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:30:04.834819Z",
     "start_time": "2020-03-15T10:30:04.815627Z"
    }
   },
   "outputs": [],
   "source": [
    "# create two variables: month of order and cohort\n",
    "df['order_month'] = df['InvoiceDate'].dt.to_period('M')\n",
    "df['cohort'] = df.groupby('CustomerID')['InvoiceDate'] \\\n",
    "                 .transform('min') \\\n",
    "                 .dt.to_period('M') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:30:05.056939Z",
     "start_time": "2020-03-15T10:30:05.010775Z"
    }
   },
   "outputs": [],
   "source": [
    "# add an indicator for periods (months since first purchase)\n",
    "df_cohort = df.groupby(['cohort', 'order_month']) \\\n",
    "              .agg(n_customers=('CustomerID', 'nunique')) \\\n",
    "              .reset_index(drop=False)\n",
    "df_cohort['period_number'] = (df_cohort.order_month - df_cohort.cohort).apply(attrgetter('n'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:30:05.219261Z",
     "start_time": "2020-03-15T10:30:05.201266Z"
    }
   },
   "outputs": [],
   "source": [
    "# pivot the data into a form of the matrix\n",
    "cohort_pivot = df_cohort.pivot_table(index = 'cohort',\n",
    "                                     columns = 'period_number',\n",
    "                                     values = 'n_customers')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:30:05.406490Z",
     "start_time": "2020-03-15T10:30:05.403018Z"
    }
   },
   "outputs": [],
   "source": [
    "# divide by the cohort size (month 0) to obtain retention as %\n",
    "cohort_size = cohort_pivot.iloc[:,0]\n",
    "retention_matrix = cohort_pivot.divide(cohort_size, axis = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-15T10:30:06.645302Z",
     "start_time": "2020-03-15T10:30:05.702908Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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gyZIlRoDD1dWV5s2b4+fnZ2zv7u5O8+bNMyx/YmIi77zzDu+9957F8t69e9OzZ098fX0JDQ1lw4YN93wCOkXXrl2ZM2cOycnJrFmzJt0Ah5eXlzHNTXrTtaQnJbE4wLPPPpthsOJ+JScnM2LECCO40aFDB8aPH2/xXbzyyiscPnyYwYMHEx4ezs8//0zdunXTre/ExEQKFizInDlzqFatmsVxmjdvzuDBgwFYt24dH3/8scV0WVu3bjU6Pl1cXJg1a1aaxPdvv/02Y8aMYd26dYSFhTFs2DBWrFiRZjodMHd+mkwm5s2bZ3Qcp1a2bFnCw8ON988991ya81q7di0hISGAOSCXUv4Ur776qsUokYULF6YJcNSpU+dfOy0VmHOzpFyf48ePp2PHjhbr+/bty9SpU5k1axZJSUn8/PPPjBs3zlifmJjI0KFDiYyMxMbGhs8++4xevXpZHKNnz54cOHCAwYMHExUVxZgxY6hZsyZubm5WyxQXF5dmurn+/fs/qlO2kJiYSEREBFevXmXnzp0sWrTIuC4qV67Mq6++mmaftWvXGsGNypUrM2vWrDQjuAYNGsRHH33Ehg0bOHXqFN9//z0jR44EzNdeZq4/gI8++sgIbgwaNIihQ4datAPdunXjzTff5K233iIwMJDJkydTr149KlasaPV8vb29efbZZ5k/f75Fmbt27UqtWrX4/PPPAfM0Yak/K6Vs48ePB8DR0fGe7e7dHvU9npiYiK+vL6+//jofffSRRb28+uqrvPXWWxw8eJDExESWLVtmTAEmIiIi/z1KMi4iIiKSg7Rt2xYwd/Bu2rTJ6jYbN24kKSkJBwcHi4S66ZkxYwbJyckADBs2zOpUSbly5WLkyJE0adIEME834unpme4xCxQowIQJEyw61FOOkzoQkTKa42HUrVs3TXADoGDBghYdp3dPAZOR0qVLU6tWLcD8BPvZs2etbpeSH8TR0ZE2bdrcT7GN4AOQqZEl92P79u2cPn0agEqVKln9LsCcgD7lSW0wz7GfkVGjRlkEN1I0bdrUGNGTmJjIuXPnLNanPCEO8OWXX6bp+ARzcG3ChAlUqlQJMI9w2bp1a7plqV27ttXgRmalDjA1bdrU6javvPIKzz33HFWqVLmv/Cj/Fpk5x4EDB1K8eHGef/75NNNEeXl5Gcd47bXX0gQ3UtSpU4ehQ4cCEBUVZYxcsMbR0fGRBjRWrVpFhQoVrP6rXLkydevW5ZVXXmH69OlG0KFevXrMmzcvzTRNJpPJuFbz5s1rNbgBkCdPHsaPH2/kxfjtt9+4devWfZX7yJEj7N27FzAHGIYPH241yFmhQgU+++wzwHxvzZ07N8PjTpgwwWqZe/bsaZQ3NDQ0zXRjDysr7vFy5coxatSoNPWSJ08ei4Dk3VMhioiIyH+LAhwiIiIiOUjjxo3JmzcvYA5kWJMyPVXjxo3vOTd8fHw8u3btAszTJN1rhEPqTqX0Aixgnk4rvdEdpUuXNs7h7twHDyK9aWYAqlatary+O0fHvXTt2tV4nTrPRgpfX1+OHTsGmPNn3O88/PHx8cbr9OrqQaXuNOzfvz92dnbpbtu6dWtjepdz586l2/FpZ2eX4dRDqes6KCjIeO3v728EW55++ukMj2FnZ8fbb79tvE/vGgeMANSDSh1Umj9/vsX3kdqqVatYsWIFEyZMeKjPyw6pz3HOnDkWuVNSODo6sm3bNjw9PRkxYoTFupS2BLhnnoNXXnnFSBydUad1lSpVjPv/cXJzc6Nt27bMmTOHhQsXWg0qnj592sj30KhRowxz7+TNm9cYERMdHc2+ffvuqzyp6/ZeeWOaN29uJIH/66+/0uS3SFG8eHGrAUgwJ1dPPfLjUbS9KbLqHm/VqpXV0R2AxbmkDhaLiIjIf4+mqBIRERHJQRwcHGjatCnr16/n6NGjaRJg+/v7c/ToUYB0Ewandu7cOSMPRI0aNXBwcMhw+2rVquHs7ExERAQnT54kKSnJ6NRM7e55/O/m7OxMdHQ0iYmJ9yzjvZQvXz7ddamDDilT9WRWq1at+PLLL4mMjOSPP/7gww8/tDjXlNEbcP/TUwEWnbz3+/T3vaQeGePh4XHP7T08PPD29gbMOTVKly6dZpvSpUtneH2knpIqdbAgJQgE5ifnM1OWFBmN8HnYOffbtm3Ljz/+iMlkYvXq1ezZs4emTZvSoEED6tSp89iSXmeldu3asWbNGgBmz56Nl5cXTZs2pX79+tSqVeuegYaUtgTMI5kuXbqU4fZubm4EBATwzz//EBUVRb58+dJsk15i7weVOk8PmEdhRERE8Ndff7F582YAnnrqKT755JN7jrJKfb5JSUlGfp30pG6/Tpw4kWHHfkaf5efnd8/PKlSoEEFBQURGRuLj42O1jc1Mu5viUbS9KbLqHs/ofFLfn4/yXERERCTnUYBDREREJIdp06YN69evx2QysXnzZvr27Wus++OPP0hOTsbZ2TlTSXtTj2qw1ql9NxsbG0qUKMHZs2dJSEjg1q1bVp+EvlfnsK2t+c/QlKmxHkZGn5X66d/7/SxHR0fatWuHp6cnQUFB7N6926jT5ORk1q5dC5iTd9euXfu+y506MPWon0BO+V7z5cvHU089dc/tS5YsabwODg62uk3qzlFrUtd16pEC93uNFShQABcXF8LDw9MtC9z7GruXcuXKMWbMGMaPH4/JZCIoKAhPT088PT3JnTs3VatWpWHDhhYjXLJK6sDZ/V6nqZ/mT7mvUjRq1Ig333yT+fPnA3D16lUWLVrEokWLsLOz44UXXqBx48a0atWK4sWLW+wbFRVlkUdi2LBhmS5TcnIyISEhVgMc+fPnz/RxMiO9PD1du3Zl69atDBs2jODgYIYNG8apU6eMXBnW+Pv7G683b95sBEgyIyWfS2bduHHDeJ0670lmBAcHW+38v9c9mvr6sDaa50Flxz2e+lwexf8jIiIiknNpiioRERGRHKZhw4ZGR9aGDRss1qVMe9KiRQurORfuFhkZabzO7DRJqbeLjo62uo21UR1Z5e5O3UepW7duxuuUgAbA/v37uX79OgCdO3dOdxqVjKTuoPT19X2gp5ATEhKsLk/5XjM7FVDq7dL7TjOa5iojD3ONRUdHp9t5mZnr+1769u2Lp6cnrVq1shidkpSUxPHjx5k2bRpt27bl7bfftuj8ftRSf3Z632l6UkZgAWlySoA5kfX8+fNp2LChxXeYkJDAgQMHmDhxIs2aNePDDz+0CGik/t4eRFRUlNXlj+J7y6xmzZpZ5JiZN28eCxYsSHf7iIiIB/6s+62vh6nf9PbNyrYwI1l1jz/O/0dEREQk59IIDhEREZEcxt7enmbNmrF69WqLaaouX75szIPerl27TB0rdcd26o7SjKTuuMyOufQfp2rVqlG+fHkuXLjAli1bjGl3Uqb9sbGxeaDpqQCeffZZXF1dCQkJITIykhMnTvDiiy/e1zEWLVrEggULqF27Nu3btzeSyufNm5fw8PB0gxV3S/2dPup8IA9zjTk6Oj5Q8Oh+VKtWjWnTphETE8OBAwfYu3cv+/fv58KFC0bH644dO+jXrx9r1qy55zRuD6JgwYLG6/uZriwhIcGoK1tb23RHR9SvX5/69esTERHBnj172LdvH/v37zfyTSQnJ7NmzRquXbvGL7/8go2NjcV5li1bFi8vrwc4s+zXqVMnDhw4wMqVKwGYPHkyL774otVcFanPecqUKbRt2zbLyuXg4EBkZCSOjo4ZTtOUE/zb73ERERF5smkEh4iIiEgOlNLxlpycbCT7Thm98dRTT2VqHnSAwoULG6/TSy6dmslk4urVq4D5afHUHbNPqpRk47GxsezatYvExES2bdsGmOebd3d3f6Dj2tjY0KJFC+P9vebgt2bTpk3cvHkTLy8vfHx8jOUpCYmjoqIynAImRUpHN0DRokXvuxwZSSkLZO4aCw4ONp4IzyjJ86Pm6OhI48aNGTNmDGvXrmXnzp189NFHRqe3r6+vEdh61EqVKmW8Trm/MuPy5cvGyJ8SJUqQK1fGP++cnZ1p3bo1X3zxBZs2bWLLli0MHjzY2O/w4cPs2bMHME8PlDIixM/PL90k7DnBxx9/TLFixQBzvoaRI0dazcmT+lpNfT9lBTc3N8AcEEgZDZZT5ZR7XERERJ5MCnCIiIiI5EAeHh4UKFAAwAhwbNy4EYDWrVtnemqPihUrGp2YR48eJTY2NsPtjx07ZowKqFix4n/iyduOHTsaU/v8+eefHDp0yHjK/kFHb6To1auX8drT05OAgIBM77t3717+/vtvwDx9VIcOHYx11atXt9juXvbt22e8rlSpUqbLkBnPP/+81c9JT0oHO8Bzzz33SMuSwmQysWHDBmbOnMnUqVOtblO4cGHefPNNRowYYSw7c+ZMlpQn9fd14MCBTO+Xuq7uHpEQExPDunXrmDZtGgsXLrS6f8mSJRk2bBj9+vUzlqWco42NjXHMuLi4e15H8fHxDB06lM8//5y5c+f+qxI/Ozk58fnnnxvvfX19mT17dprtUn8P27dvv+dx165dywcffMB3333HkSNH7qtMqe+LzHzWxx9/zNixY5k1a9Z9jfJ5HP6N97iIiIj8dyjAISIiIpID2dnZGYl1jx49yqFDhzh//jyQ+empwDzdVePGjQHzPOq//vprhtun7hRMmQ7pUUv9FPqjTIT7oFxdXWnatCkAf/31l5H3xNnZ2WIExoOoVKkSbdq0AcyjLYYPH56pKV4CAwP55JNPjPc9evSwGHnRsmVL4/VPP/2UYV6HDRs2GCM4nnnmmUeeUNvd3Z3KlSsD5o7llECcNQkJCfz000/G+4e5xjK6jnLlysU333zD999/z+zZswkKCkr3OKlHKVlLmv0oNGnSxMifsGbNGry9ve+5T1xcHL/99pvxvlWrVhbrc+fOzccff8yMGTOYOXNmhiMw0jvH1NfRzJkzMwxaLF++nI0bN7JkyRI2bNiQbfkg0pOSTD3F3LlzLUYuAbzwwgvGaIRTp04ZI7WsiYuL49tvv2X9+vXMnj3bIn8J3Lsdu/sezSgnx19//cXvv//OsmXL+OWXX3Byckp324eRErC+33Y3u+5xEREREVCAQ0RERCTHSpmmymQyGZ3d7u7uvPDCC/d1nAEDBhgjPqZOncrmzZvTbGMymZg8eTI7duwAzNMY9ezZ82GKn67UOSDu7jTMLinTVEVGRrJixQrAXP+PIh/Dp59+akwVduTIEXr27MmpU6fS3f748eP06dOHa9euAeagxPDhwy22ady4sTES4+zZs4wZM8ZqB/eRI0f49NNPjfdDhw596POxZvDgwcbrsWPHcvjw4TTbxMfHM2bMGM6dOweYgz93d9rfj3tdRymBQJPJxKhRo6zWT0xMDPPnzzfe16lT54HLkxE3NzcjoX1CQgIDBgzIcLRIeHg4w4YNMzroq1SpYgThUtjb2xtB0Fu3bvHZZ59Z7bgODg7G09MTMHdw165d21jXrVs3o8P/xIkTjB492mo9HTx4kEmTJhnvBw4cmJnTfuzGjBlj5IuIj49n3LhxFuvt7e3p37+/8X7UqFFWr9WEhASGDx9uJJ4vX748jRo1stjmXtdf06ZNqVixIgDXrl1jyJAhVpOc//PPP4waNcp4379//yxLvp1SNxEREekm/k5PdtzjIiIiIqAk4yIiIiI5Vt26dY0k1SkdnW3btr3vaaOqVq3KsGHD+Pbbb4mPj2fIkCE0bNiQJk2aUKBAAW7cuMHatWuNTik7OzsmT56cbkLjh1WgQAEcHR2JiYlh165dzJkzh1KlSuHu7m41MfDj0KBBA4oWLYq/v7/xFHtK0ONhubq6smDBAl5//XWCgoI4d+4cXbt2pVatWrz00kuULFkSMHeC7tq1i4MHDxr7lipVirlz56Z5otvGxobvvvuO7t27ExERwdq1azl69CidO3emTJkyREdHs3fvXjZs2GB0evfo0cMYTfKotWjRgp49e7J06VLCw8Pp27cvrVu3xsPDg3z58nHp0iVWrVpl5J9wcnLiu+++M6YGexApORcA5s+fT/78+XFwcKBGjRq4u7vTv39/Vq1aRVBQELt376ZFixZ07tyZ0qVLA+ZcAitWrBoBVH4AACAASURBVCAwMBCA2rVrp+nEPnDgAK+99prxPmUU1YP48MMP+fvvvzlz5gzXrl2ja9eu1K1bFw8PD4oUKULu3LkJCQnh5MmT/Pnnn8ZUcUWKFGHq1KlW828MHTqUbdu2ERMTw8qVKzl+/DgdOnSgRIkSxMfH4+3tzYoVK4wpjzp37ky5cuWM/fPmzcuUKVN44403SEhIYO3atRw5coTOnTtTtmxZbt26xaFDhyyuo/bt2/9rO62LFi3KO++8wzfffAOYp0ry8vKySCber18/9u3bx44dO7h16xZ9+/alRYsWvPTSS+TNm9e4LlICjI6OjnzzzTdp6v9e15+NjQ1Tpkwx7tG9e/fSqlUrOnfuTKVKlYiJieHvv/9m9erVRlCpdu3aFtdbVtTPhQsXiIyMZMyYMTRq1Ig8efLQpEmTe+6bHfe4iIiICCjAISIiIpJj5c6dm5YtW7J06VJjWfv27R/oWG+//Tb58uVj0qRJxMbGsnPnTnbu3JlmuxIlSjBlypQsDTTY2NjQoUMHli1bRmJiIt9++y1gnoJn2rRpWfa5GcmVKxedO3dm1qxZAJQtW9Zivv6H9eyzz7J69Wq++OILYwTNoUOHOHToULr7dOzYkdGjR+Pq6mp1fZkyZVi6dClDhgzBx8cHPz8/pk+fnmY7W1tbhg4dyoABAx7NyaTj888/p0CBAsydO5ekpCS8vLzw8vJKs12lSpWYOnUqTz/99EN93nPPPUfZsmXx9vYmKCiIMWPGAOYRM71796ZAgQLMmzePgQMH4u/vj7+/v/H93q1+/fp8//33D1Wee8mXLx+LFy9m3LhxrF27FpPJxN69ezPMfeHh4cGECRPSTQxfunRpZs6cybBhw7h16xY+Pj7pnkeHDh344osv0iyvVasWCxcu5P333ycgIIBr167xww8/WD1Gjx49LEYE/Rv169eP1atXc/HiRQDGjx9Pw4YNjSBhrly5+OGHHxg3bhy///47JpOJTZs2GbmOUitWrBhTp041RmKkdq/rD+7co++99x7e3t4EBwczb948q+Vu3rw5kyZNytKpvzp27Gi0+ytXrmTlypW4urpmKq8GPP57XERERAQU4BARERHJ0dq2bWsEOJ555pmHShDdu3dvmjdvzpIlS9i9ezdXr14lOjqaQoUKUaZMGTp06ECrVq0eybRM9zJ27FhcXV35448/CAgIIG/evBnmkXgcatSoYbx+2OTi1ri5uTF9+nQuXryIl5cXR44c4dKlS4SHh5OYmIiLiwulS5emVq1axkiMe3n22WdZt24d69atY9OmTZw+fZrQ0FCcnZ1xd3enUaNGdOnShRIlSjzy87mbjY0Nw4cPp3PnzixZsoR9+/Zx/fp14uPjKVq0KOXLl6dTp040btz4kXTi2trasnDhQiZPnszevXsJCwujQIECFtMAVaxYES8vL1asWMH27du5ePEiYWFh2Nra4ubmRo0aNWjXrp2RpyarOTs788033zBw4EDWrVvH4cOHuXz5Mrdu3cJkMpEvXz5KlChB9erVadeuHTVr1rznMT08PNi4cSPLli1j165d+Pj4EBERgb29PYULF6Z27dp07Ngxw2PVrFmTP//806inc+fOERoaiq2tLUWLFqVmzZp0794920ZY3Q87Ozs+++wz+vTpA0BQUBBTp061yGljb2/PV199Re/evVm+fDkHDx7E39+fmJgYXFxcKF++PM2bN6dLly7p5mXJzPUHd+7R9evX8+eff3Lq1ClCQkIAc6L7559/ni5duuDh4ZFFNXJHhw4dSEpKYvHixVy6dAkAFxcXbt26lakRe4/7HhcREREBsEm+38k1RURERET+g0aPHs3KlSuxtbVlx44duLm5ZXeRRERERERE/tOUZFxERERE5B7Cw8PZuHEjAM2aNVNwQ0RERERE5F9AAQ4RERERkQzExsYyYsQII6lzVib5FRERERERkczTxJciIiIiInfZt28fn3zyCW5ubly6dIlbt24B0LBhw0zlPRAREREREZGspwCHiIiIiMhdihQpgp+fH35+fhbLvvrqq2wslYiIiIiIiKSmKapERERERO7i7u5O5cqVyZMnD0899RQvv/wynp6eFClSJLuLJiIiIiIiki0CAgJ48cUXWbhwYab3CQsLY9y4cTRt2pTq1avTpUsXvLy8HlmZNIJDREREROQuDg4OrFy5MruLISIiIiIi8q8QFRXFkCFDiIyMzPQ+0dHRvPnmm5w5c4Y2bdpQrFgxNm/ezPDhwwkJCaFPnz4PXS6N4BAREREREREREREREauuXbtG3759OXHixH3tt3jxYk6fPs3YsWOZMmUKH374IatXr6ZcuXJMnjyZ4ODghy6bAhwiIiIiIiIiIiIiIpLGwoUL6dChA+fOnaNu3br3te9vv/2Gm5sbPXv2NJY5OTkxaNAgYmJiWLdu3UOXTwEOERERERERERERERFJY/HixRQvXpxffvmFl19+OdP7XblyxcjZkTt3bot1derUAeDQoUMPXT7l4BARERERERERERERkTS++OILPDw8yJ07N76+vpne78qVKwCUKlUqzbpChQqRJ0+e+zpeehTgEBERERERERERERGRNBo0aPBA+4WFhQHg4uJidb2TkxMREREPXK4UCnCISJayGXx/c/NJ5iW9XCO7i/DEMl2/ld1FeGLlerZodhfhyRUZnd0leKLZPFUgu4vwxEoODsvuIjy54hOyuwRPrlw22V2CJ1fhp7K7BE82/b2QZXJ5NM3uIjyxoj+fnd1FeKLlnbQxu4vwr/Wk9Gklz9qfLZ+bmJgIgL29vdX19vb2xMTEPPTnKAeHiIiIiIiIiIiIiIg8Mnny5AEgPj7e6vr4+Hjy5s370J+jAIeIiIiIiIiIiIiIiDwy+fPnByAyMtLq+sjISJycnB76cxTgEBERERERERERERGRR+bpp58GwM/PL826wMBA4uLieOaZZx76c5SDQ0REREREREREREQkFRvl3Hoo7u7uuLu7c+TIEUwmE7ly3RlrcfDgQQBq1Hj4/LIawSEiIiIiIiIiIiIiIo9Ux44d8ff355dffjGWRUZG8uOPP+Lg4MDLL7/80J+hERwiIiIiIiIiIiIiIvLApk+fDsCQIUOMZQMGDGDjxo18/fXXHDp0iJIlS7J582auXr3K2LFjcXV1fejP1QgOERERERERERERERF5YD/88AM//PCDxTInJyd+/fVXunbtyuHDh/ntt99wcXHhu+++o0+fPo/kczWCQ0REREREREREREQkFeXgSKtLly506dLF6rrz589bXe7m5sb48eOzrEwawSEiIiIiIiIiIiIiIjmOAhwiIiIiIiIiIiIiIpLjKMAhIiIiIiIiIiIiIiI5jnJwiIiIiIiIiIiIiIikohwcOYNGcIiIiIiIiIiIiIiISI6jAIeIiIiIiIiIiIiIiOQ4CnCIiIiIiIiIiIiIiEiOoxwcIiIiIiIiIiIiIiKpKAdHzqARHCIiIiIiIiIiIiIikuMowCEiIiIiIiIiIiIiIjmOAhwiIiIiIiIiIiIiIpLjKAeHiIiIiIiIiIiIiEgqNjbKwZETaASHiIiIiIiIiIiIiIjkOApwiIiIiIiIiIiIiIhIjqMAh4iIiIiIiIiIiIiI5DjKwSEiIiIiIiIiIiIikopNLuXgyAk0gkNERERERERERERERHIcBThERERERERERERERCTHUYBDRERERERERERERERyHOXgEBERERERERERERFJRTk4cgaN4BARERERERERERERkRxHIzjkiRIaGsrUqVPZtm0boaGhFC5cmNatWzNkyBAcHR2N7WJiYpgxYwZeXl4EBgZSoEABmjZtyrBhw3B1dbU45t69e3njjTesfp6bmxt79uzJ0nOS9BXL78bZz5by2fq5fL/NM836vnXaMLxZT8oXLkVodATLjmzl0/VziIqLSbNt2yoefNLmDaq4lyEmIY51f+9m9JpZBEWEWmxX95kqzOr1IeWLlOLUdW+GLZ/KPp+TFtvY5bblwhfLWXFsOyNWTHu0J51NQqMSmLnxEjtO3yQwPJ4Srg50rlOMfo1LYpvbHCtv9sVerofEZnic8a9WonOdYgBsOxnExNX/cDM8nqqlnRnbrQJli+az/NzIeFqM28ew9mXo07Bk1pxcNguLSWTmnuvs9L5FYGQCxfPnoXPVp3itVhFsUz0tEhWXxKy9N9hyIYwb4fHks8/FiyWd+L/67lQqktfimNsuhvHNdj+CIhOoWiwfn7QoSVk3R4ttQqMTaTX7JEMbFqf3i4Ufy7k+bqGR8cxcd5EdJwMJDIulhFteOtcvQb/mzxjXLUBMXBIz119kw6HrBIbFUsDJnibVizCsUwUKOttbHHPb8QAmLj/DzVtxVH26AGN7V6ZsMWfLz42Ip8WY7QzrVJ4+zZ55LOf6uIVGJTBz0yV2nAm+0ybULka/RiUs6hZg19lg5m69whm/COxsc1GlpDPvtXmGqqVcLLbbduomE9fcbhNKOTO2W3nKFrHSJny1n2Fty9CnYYksP89/g4lLTrJgwz8sGv0SdSoVsli3evcVFm38B1//SFzy2dG6dnHe6/oc+Rws/8TfdvQGE5ecJCgslqplCvLpa9UpW9yy/kMj4mj+wWaGdXuOvi3LZvl5ZRddu1knNCqBmVuusONc6O26zUPnmkXo91JxbHPf+f9s+UF/Pl3xj9VjVCvpjOe71Y33284EM3H9JW5GxFO1pDNjXy5L2bv+zwuNSqDFxMMMa1WaPvXds+bkslloVAIz/7zCjrMhd+q2VlH6Nbirbg/48+nvF60eo1opZzyHPG+833Y6mInrfczXbUlnxnZ+1nrdTjjEsNal6fNS8aw5uX+ZSUtOsWDjPywaVZ/aVtrcxZu8LdrcIV0qWW9zl57i5u02d+xr1SnrfvffCnG0GPEnw7pVok+LJ7jNjYxnppcPO04HEXgrjhJPOdK5rjv9mpa+8xti7M57/4boU5nO9czX4La/A5m48sLtv8VcGNujEmWLOqX53Baf7WJYh3L0aVwqa04um02ZsYkf5223uq5ty2pMmfiq8X71uiMs/HU3vpdv4uLiSJsW1Xjv/1qQL28ei/22/nWGid/9QdDNCKpWKcFnozpRtozl74SQ0Ciad5jE8Hda0rdX/Ud/Yv8GTgWxa9mH3BVrY+NUAGIiSLp4nITNi0kO8QfAYdQicrkWyfAwcZ7fknTkTwByP1cXu/YDsHF2xXT1PPGrZ5AceNVyh7wuOI5aQMLGRSTuXZslpybypFKAQ54YUVFRvPrqq/j4+FCnTh3at2/PsWPH+Omnnzh69Ci//PILtra2mEwmBgwYwKFDh6hSpQqtWrXiwoULeHp6cuDAAX7//Xecne/8AXr+/HkAevToQaFCln/k5s1r+SNAHp98eRxZOfB/5Hd0srp+VKvXmNDp/zjhd5Hpfy2nqntZ3m/ei7rPVKbxlP8jISnR2LZnzRYs6f8l3kF+zNq5ilKuRXi9XjsalatBzf+9wa2YSAAc7PKwauBE4pMSmLVzJW0q12PTkKmU++wVAsJDjOO9/VInnsrnwv82Lc7aSnhMomIT6fP9EXwComlSxY0W1fNyxCeMyWu9OewdxswB1bCxseG1RiWJiElIs39sgokF265gb5uLKqXM91bgrTiGLzxNSTdHunu4s/F4IANmHcfr47o42Oc29p275TIujrZ093gyf1RHxSXR95fz+ITE0vjZ/DQvX5CjfpF8+9c1Dl+NZEbXstjY2BAdn0Tf385zPjCG593z0axcAQIi4vnzQih7LoUzr0d5XihhvhcCI+L5YI0PJQvkofvzbmw6F8rbyy7yx4AqONjd6bybt98f5zy5eaW6W3adfpaKik2kz8S9+PhH0aR6YVrUKMqRf0KY/Ps5Dl8IYea7NbGxscFkSubtaQc5fCGEKqXz0/LFolzwi2DZziscOBfM8o/r45zXDoDAsFiGzz5KyUJ56d6wFBsP32DA1IN4fdnY8rrd+A8ueW3p3vDJ/EEdFZtIn2lH8QmMpknlp2hRrRBHfG4xed3tNuGtqtjYmDvclu27zmfLzlM4vz1d6hQjKjaRP44F0nvaUX597wWjozjwVhzDF52m5FMOd9qEH0/gNbqOZd1uvXK7TXgyOzHv9rd3CIs3eVtdN3vdeaYsP0OFki70aVGGC37hLNrkzQnvUBaPaYC9rfl+DwiNYdiMg5QqnI/uTZ5h48FrvPXNXjZMamFRt3PWX8Alrx09mjz9GM4se+jazTpRcYn0mfU3PkExNKnkSosqT3HEN5zJXr4cvnSLmf2eM+r2wo0oAN5qXII8tpbTPhTJf6ezLTA8juG/nqOkqyPd6xRl4983GfDTabxGvoCDXaq63e6Hi4Mt3esUfQxn+vhFxSbSZ+YJfAJjaPKcKy2qPsWRS+FM/uMSh31uMfMNK3XbpAR5bC0DdhZ1eyuO4b+cpeRTjnSvW4yNJ4IYMO8UXh++aFm3266ar9u6xR7DmWa/v71DWbzZeps7Z90FpvxubnN739XmLhr9ktHmBobGMHzmIUoWykf3Jk+z8eB1BnyzF6+JzS3bhPUXcclrR/fGTz+GM8seUbGJ9PnuED4BUTSpWogW1Qubf0Osvsjhf0KZOaiG+TdEk9Lp/4bY4mv+DVE6P3D7b7Gf/jb/hnipBBuP+jPgh6N4fVrfsn43X8LF0Y7u9Z/MgDLA+Qv+2Nvb8vYbjdKsK1f2Tns4+6ftfPfDJiqUK0qfnh5c+Mefhb/u5sTJKyye9zb2duZuwYDAcIZ99BulSrjSo2ttNvx5kv7v/MTGVSNwcLAzjjd3wV+4ODvQo2udrD/J7OBUEIch35OrYGGSLhwh6cQObAqVIPfzjcldoSaxM4aRfPM6ibtXYWOtL8LWHttGXSExAZPfBQBsXFyx7z2G5OAbJB7wIne1huTp/zWx37wFifHGrnZNupMcE0XigQ2P62xFnhg5MsARFBTE9OnT2bFjB8HBweTPn5969eoxdOhQSpa0fMJ39erVLFy4EF9fX1xcXGjTpg3vvfce+fLlS+foYDKZ6N69O4ULF2bmzJlWtzl27Bjff/89p0+fxsbGhrp16zJy5Mg0n59Z0dHRtGvXjubNm/Pxxx+nWR8fH8/8+fNZu3YtV69exd7enmrVqjFo0CDq1HlC/2O5T56envj4+PDaa68ZdZicnMzIkSNZt24d69ato3Pnzvz5558cOnSIFi1aMG3aNHLlMv8x+t133zF79mwWLVrEu+++axw3JcAxcuRIi8CHZJ9SrkVZOfB/vFiqotX1JQsWYVyHt9nr/TeNvhtMoikJgC/aD+DTdv15+6VOzNjxO2AOlPzQYwTeQX7UGP8aEbHRAGw+c4D5r33CJ23eYOTK6QC0r1qfovmfos7E/hz0Pc13W5ZwZfxqetdqzXdbfwPMQZCP27zOtO3LuRkZltVV8VjM+fMyPgHRjOlSjr6N7rRxIxad5o+jAew4E0zjym70a2y9/Ru3/DymZBjdpRzlipn/CFx32J/EJBPz/+95CufPQ6sahek15Qg7zwTT8nnzU0KBt+JYsvsao7uUM340Pmnm7vfHJySW0c1K0qfmnaejRq71wetsKDt9wmlUNj+/Hg3ifGAMfV4szOjmd+r50JUI+i+9wJebr7DqzecAWH8mhERTMvN6lKOwsz2tKhTk1V/Os9PnFi0rFATMQZClxwIZ1azkE1u3c7z+wcc/ijE9n6NvqlEUI+Ye44+D19lxMpDG1Yqw5Zg/hy+E0LxGEb4f9CK5bo+ambLyHHM2eLN4yyXe6VgegHUHrpmv2/frULiAA61eLEav/+1l58lAWr5o7vwJDItlyV+XGd2jMvapOomeJHO2XsYnMJoxncvRN9WT6CN+Ps0fRwONNuF6aCwTVl2kbJG8/PxuDQo6mUfDdPdw59Xvj/LtOm8WvlMDgHVHAsx1O/h2m1C9EL2+P8rOs8G0rJ6qTdhzjdGdn9w2IbX4RBMf/3SMJFNymnXXb0YzfeVZnn/WlZ/HNMDudn1MW3GGmWvOs2z7JeOJ4PV7r5KYaOKnD+tTpKAjrWsXp+e4Hew44U+rWubgcUBoDEu2XmJM76pP7HULunaz0pztfvgExTCmYxn6phpFMWLJef44HsSOc6E0rmQeJX3eP4r8eW35oM3TGR5z3bEgEpOSmT+gMoVd8tCqqhu9Zv7NznOhtKxqDs4HhsexZP8NRnco82TXbWAMY14uQ99UoyhG/Houbd3euF23bTMePXinbquYr9tqbvT64QQ7z4bSstrtur0Vx5J9Nxj98pNbt6nFJ5r4ZH46bW5wNNNXmdvcxaNfutPmrjzLrDXnWb7dl94tygCwbp8fiYkm5n/oQeGCjrSqVZxeX+5k5wl/Wt5ucwNDY1iy7RKjn/Q2d9MlfAKiGNOtAn2blDaWj1jwN38c9mfH6Zs0rlKIfk1LW91/nOdZ82+IbhUp5377N8ShG+Y2d8iL5r/FXihCr8kH2Xn6Ji1rmJ+mDwyLZcnOq4x+pSL2dk/utXvh4g2eLVOYIYNapLvN9RthTPvxT2pUK8XP8wZid/t6+37mZmbO3cayFQfp09MDgHUbjpGYmMT8WW9RpLALrVtUo0e/mezYfY5WzasC5iDIb8v38/HIDtjb58juxHuya9mHXAULE79uDom7VhrLc9doQp5eH2HX/m3iF35O4u7V1vfv9A42uXITt+4HkgMu3963KeTOTdy80SSHh5D09y4c3p1K7oq1SDplnhHExsUV23rtiV/7IySlDfhJ9lEOjpwhx7X2QUFBvPLKK3h6elK2bFn69u1L1apVWb9+Pd26dcPX19fYdvbs2Xz00UeYTCb69OlDxYoVWbhwIf379yc+Pj7dz/jqq684efJkuusPHTpE3759uXjxIp07d6ZZs2Zs376dbt264efnd9/nlJiYyIgRI7h+/brV9SaTicGDBzNlyhRy585Nr169aNmyJcePH+f1119nwwZFdwHjO+vatauxzMbGhldeeQWA48ePW2zXuXNnI7gB0L17d4vtUpw/f57ixYsruPEvMbRpD05+8ivViz/L1nOHrG4zsEFn7HLbMn7jIiO4ATB+4yJuxUTyVv2OxrJeNVvylFN+pmxdagQ3ABbsW885f19er9eOXDbm6+SZp8w/2E/4mYf+X78VRFBEGM+43XmqbUjjV3Cws2fyll8f3Ulns2shsRQrkIded01N0PYFc8fNcd9b6e574GIoS3Zfo/azBSxGYfgFx+LqZE/h208TVipu/tHil2p4+qxNvhTOn4cudZ7cpwav3YqjqLMdPV+wHB3W5nZHxfFr5tFDWy6EYgMMaWD55G+tUs7UKuXMhaAYAiLM/6/53YqnYF5bCt+eWqni7ekmroXFGfv9uM+fQk72dK72ZI7eALgWHEMxVwd6Nbb80dy2lrkOj3ubA5Anb1+/nT1KGsENwBh9ceLSnUCl381oXJ3zULiAAwCVbj/B7XfzTtsx64+LFM7vQJcn+IlBo024ayqYtrc7Fo5fDgdgxf4bxCaYGNO5nNFBDFC9dH76Ny1FxeJ3nnrzC4m5d5vw5+02ofaT+ZT23X5cex5f/0g8KhdKs85z+yUSk5IZ2KG80dEGMLBDBZwcbfl9x2VjmV9QNK4ueShS0DxNXaVS+Y3lxmetOU/hAg50aWi9k+lJoWs361wLjaNY/jz0uutJ/7a3RwkevxJhLLvgH035ovceBe0XEotrPjsKu9yuW3crdbv1KoVd7OlSM+NpQnIy47qtd9d1+7y5bUi5bgEu+EdRvmj6D/KlMOo2f2bq9sm9blObfbvNrWelzV223ZfEpGTevrvNbV/e3Obu9DWWpbS5hTNoc2etvWBucxs8mSM9U1wLiaFYQQd63TXNbNsXzdfU8UvpPwx24EIIS3ZepXa5gnR/6c7fVH7Bt9vclL/FSjgby1PM2uhjbnPrPpkj5gAiI2O5diOMCuUyvj89VxwgMdHEwP5NjOAGwKD+TXByysPyVXd+T/tdC8W1YD6KFDb/fVupgrk997t+Z8rmWfO2UbiQC106vvgoT+dfxbayB8mRYSTuXmWxPOnYdkw3r5O7/AtgY73DO1fZath5dCDJ+wRJqUZh2BQsAlG3SL4964PpunmkmI3rne/Ptmkvc/Dj8OZHfUoi/wk5LuQ6ffp0bty4wahRoyzyIqxdu5aRI0fyv//9jx9//JHr168zbdo0atSowc8//4ydnXlI3ffff8/MmTNZtmwZffr0sTh2bGwsY8eOZe3a9Oe6S05OZuzYsTg6OrJixQqKFjU3SB07duSNN95g0qRJTJuW+Tn3w8LCeP/99zPM47BhwwZ2795Ny5YtmTJlCra25q/trbfeolu3bowbN45mzZphb2+f7jH+CwoUKADA9evXqVjxzpP9AQEBAEZujdTbpXb3dgBJSUl4e3vj4eGRdQWX+zKsaU8uh9xg4G8TKV+4FM0q1kqzTcNy5vmFd1w8ZrE8LjGefT4naV25Hi4O+QiPjTK23X7hSJrj/HXhKIMadqGKexn+vvYPodHmH+dOeRyJuz2U1CmPI7dizNMBODvk5cOWffh2yxLCoiPSHC+nmtyvstXlPoHmH2puztbbnuTkZCauvkguG/i4a3mLdfnz2hIdn0RycjI2NjZExpoDUU4O5j+8rwXHsGL/db7qVSnNnOhPkm86lrG6/NLtDga3fOb/u7pXL0RIuQSc8qR9ys/+9tzb0fEmAPI75CYmwXSnbuNu1+3tfa/dimPFiZt81ba0RY6PJ83kATWsLvfxNweN3FzM120BJ3MdXw+OttguIMz8HaTu3Myf147ouMQ7dRtjnurOydF8jGs3o1mx6ypfvV7tib5uJ/dNp00IMLeFbrfrbNe5YPLntaVuuYJptn2/veV84/kd7dJpE8x/81wLiWHF/ht81bPiE123Kc5fucXcded5j8XPsgAAIABJREFUu0MFIqIT2Hs6yGL94fPBANSqaBmkzGOfm+efdWX3yUAiohNwzmuHSz47ouNS1635unV2NNetX1AUv+/w5eu3Xnji61bXbtaZ3KuC1eU+geZOR7fbba1/WBy3ohOpkIlO+PyOtkTHp/7/7Haba9RtLCsOBfBVt3IWeSieNJN7Wx+xbPwddnfdFstk3SZYqVvH238rhMSy4qA/X71S/omu2xTnr9xi7voLvN2hPOHRCexLp82tXeEpi+XW2tz86bS5Trenu7wWFMWKHb581f8/0Oa+Uc3qcqPNdc5jdX1ycjITV543/4bobnn95897d5ubcu3ebheCY1ix9xpf9an8RNfvuYvmPBAVymX8INiho5cAqPWi5W+OPHnseL5aaXbvvUBERCzOzg7kd3EkOib+Tt1GmR+OcnYyB5P8rofw+6pDfP15N2xtn9CRRza5SNi2FExJkJx2NBeJCdjY2kNuW0hMO8rCvv3bJJuSiF9910wwMZFg73DnfR5zkD851nwv2BQsgm3t1sQvnwIm0yM7HZH/khzX4m/ZsgVXV1f69etnsbxjx46UKlWK3bt3YzKZ8PT0JDExkYEDBxrBDYBBgwbh5OTE8uXLLfbfu3cv7dq1Y+3atbz00kvpfv7evXu5dOkS3bp1M4IbAPXq1aN+/fps2bKF0NDQdPdPbf369bRt25Y9e/ZQv376yZk2bzZHcIcMGWIENwDKli1L27ZtCQkJyXDEyX9F165dsbOzY8KECRw5coSYmBgOHDjA5MmTcXZ2NkZ2tG/fHmdnZ2bMmMGOHTuIjo7m1KlTfPbZZ9jZ2dG7d2/jmJcuXSIuLg4HBwdGjhxJgwYNqF69Or169WLnzp3Zdar/aQN//R/Pf/1amsTeqZV1K47/rWAi46LTrPMNvgFA+SKljG0BfG6mHUF197YHfE8D8FGrvuTL48iQJt1xcsjLHu8TALzf7FWSk5OZum3pg57ev15ycjLBEfH8tsuPHzZcoljBPHRI58m+P44EcNYvkvY1i1Le3XJ+0upP5yc6LolfdvoRFZfI/G1XsLHh/9m77/Aoyq6Bw7/dTa+kQxJSIJQQWui9ClJVULAhKCq+ItgVK+qron4KghSREgEVKQoKqIC00EtoCSQEQhokkEZ63/L9MWlLNoi+Btx47uvKpcw8O7NzMnmmPOXQMUDp5bZgawJ+HnaM6txwe2Rez2AwkFVYzvcn0lm4P5UmTlaMClEaXO/t4M6TPWs/wGQXaTl+uQBbSzU+zsqLufbe9hSV6fnueAaFZTq+PpqGCuhY0at44f4r+LtYM7KNa63tNVQGg4GsvFJW705kwabzNHG1ZXQPpTfgyK7eONpasGhLHOFR6RSVajmblMs730RhaaHmoRpTKnRo5qKct7sSKSzRErYtXjlvmysvQRdsuoCfpz2jujXMnDGmVNUJ+1NYsC2xok7wwmAwcPFqEYGedmTml/HadzH0ems/nWaE88TiU8SkGDcCd/B3UmK7L0WpE3ZX1glKL8IFWxPxc7dlVKeGXyfo9AbeWHYC/8YOPHWX6ZfGyemFuDtbVzWu1eTjrjw0J1Y05nUIcqWoRMs3v8dTWKJl+S/nldi2UF7ULdh4Dv/GDozq+demWTVXcu7WH4PBQFZBGasPXWHB78k0aWTN6FBl1GfsVeVlTrnewLRV0fT+7xE6v32IJ5adIfLSdbH1c6SoTMe3B69QWKojLDxFia2/0mN7wY5k/NxsGdWxdo/7hqoqtgdTWbC9IrYVI2pjK/JvlOv0TFsRTe93D9P5rYM8sTSKyOTrz1tH5bw9kKrEds/lithWnLfbk5TzNrThx1anN/Dm8pP4eTkwZfSN61z7m6lzm7tQVKLl24o6N+zXC0psg5T7rgU/ncPPy4FRPRvuSE9TlDq3lNV7k1nwy0WauNgwupvpl/O/RFwl5lI+o7o2oeV1ydk7BFY8Q+xJVuL7e6IS38CKZ4hfLirPEF0a7ghwgNgLynNqdk4hj/1nGV37vUvXfu/y7MvfEp9Y3UCXfCkLdzcHHOxrNyb5NFHuXxOSlfId2jWlqKiMb74/SGFRKctW7kWlUtGxvfIsvGDxDvz93Bg9vEN9H97tY9CjPfAz2kNbaq1Sefii8vRFn5lqsnFD03EAap8gdCd3V01NVUmffA6VtR0Wve8GKxssB4zDoNejT4oBwHLIBAyZqehOmU4aL4T4Y2Y1gkOn0/HUU09hYWFhNLVQJSsrK8rLyykvL+fYMWWoXdeuxr27ra2t6dixI/v37yc/P79q2qFNmzZRWFjIhx9+SI8ePRg8eLDJ71C5XVN5L7p3787+/fs5fvw4d9xxxx8ez9q1a7GxsWHx4sXY2dnVOYpj+PDhBAYGEhhYey7VylEbRUW1X+T+27Rt25avv/6aF198kYceeqhqube3N99//z2+vspNZOPGjfn222956aWXmDJlSlU5Z2dnVqxYQYcO1Rfsyvwbv/32G506dWL06NGkpaWxY8cOpkyZwgcffMB99913i45QAGyPOfKHZdzsnUnIMj3lW+Voi8rk5G4OzpSUl1JSXlq7bIlx2aiUOBbsWc8rQybwyhBlBNjaiB38dvYQrvZOvDD4Ad7/NYzCUqW3okqlwmCq54cZ++LXBBZvTwSUkRvLn+6Is13thz2Ar3dfAmDywNrD7we2dWdAiBuzNlxg1gZlyq/Jg/xo6e1AfFohmyPSmD0ppGrKIL3eYDR9UEM0f18qXx1SemO52VuwdHwLnG1ufJn+bPdlCsv03B/qUTU/9sCgRvRv7sxHOy/x0U7ld/BYNy9aeNgSn1XClrNZfHpXM9QVQ6v1BkPV/zdUX/x8nsW/xAHg7mTN8he64VwxOqaxqy3fvNqTl5ac5D9fVA/Td7azJOyF7nRoVt2De2AHLwa092TWmmhmrYkGYPKdzWjp40j8lQI2H0lh9pTQf9V5+8VvCSz+XXmIc3e0Yvl/lDohr7icojIdpeV6xn9+HFsrNaM6eZGRV8rvUZlM+OIkK5/pSNuKab4GtnVnQBs3Zm28wKyNFXXCwKa0bFJRJxxPY/Yjbf4VsQ379QIxSTl891a/Oue9zykow9fD9BQ/jhV1cn6R8vA9KLQJAzo2Zta3kcz6NhKAx0e0oKWvE/Gp+Ww+eInZU7v+K2Jbk5y79eeL7cks3qVcf9wdLFn+RAjOdsr1rDIJ9trDV+nTshFjuniSlFnC7pgsjn6pJCPvU5EvamAbNwYEuzBrUzyzNsUDMLm/Dy0b2xOfXsTmk+nMfrD1vyu225JYvLNGbJ9sW3UfZhxbF8Z09SIps5jd0VkcvXiaRY+FXBdbV2b9HM+snytj62sc24f/HbEN+02pc7/9i3VuZUNzZZLsgaFNGNDRi1nfRTHrO6VD1uQRQTXq3MvMntrlXxHbmr7YcpHFW5Vzzd3RiuXTO9f9DLEzEYDJdwTUWjewnScD2roz64dYZv0QW1Wupbcj8VcL2XzsCrMfa9fg4xt7XnlmWL5qL4P6BTNubDdiL1xl284zHDwSxzfLphDcypuc3CJ8fUx3anJ0VEYUFOQro5YH9W/DwH6t+fDTzXz46WYAHp/Uj5ZBjbmYkM6mX08x56MHq97F6fV6k+/lGiSVCquK3BrlR341WcSyn9Khtjz8x1rrdDFH0EUfxurup7G6+2ml3J71GNKSlATmoYMoW/1R9agRlcr0CBJxW0gODvNgVg0cGo2m1siNShcvXiQ+Ph4/Pz+sra1JTk7G3d0dBweHWmV9fJSelQkJCbRvrwybvO+++3jrrbdwcHC4YR6NS5eUG0pTycQrt1szD8iNTJ06lU6dOmFtbc2RI3W/tB02bBjDhg2rtbysrIzw8HAAgoKCbmqfDVlWVhZz5swhIyODgQMHEhgYyJkzZzh69CgzZ87kq6++wsnJiaKiIubPn09cXBzdu3cnJCSEhIQE9uzZw8yZM1m2bBne3sp8nSUlJfj5+TFu3DijxpC4uDjuv/9+3n//fQYMGIC7e8Odx94cWWosKDXRqwKomlrKxsLqj8uWG5cFmL52NhtPhdPRtyXRVxPYevYQADOGTqSwtJiF4T/i4ejCykkzGdK6K9eK8nj/169ZsGe9yX2YG29XGyYP8iM5s5hdURlM+OIES/7TkZCmxr2rjl/MIfpyPr1bu9LKp3Y9DLDoyfbsPpNJUkYx7fyd6NJcmT5u/q8JtPS2Z2gHD5IyipjxbTSRSXk0drbm1XtaMCzU0+T2zJ23szWPdfPiUk4puy7kMHF1LF+Na0GbOuYpX3zwCj+dycLbyYrn+hnPMbzw3ubsjsslObuUdk3s6Fzx+1mwL5WWnrYMbdWIpOwSXt+SSGRqIV6Olrw6qCl3tq49HUtD4O1my+ShzUjOKGTXqTQm/N8hljzXjRB/Z4pKtcz/+TwXrxTQvZUbbfydSLhaSHhUOu9+G8WS57rh7WZbta1F07qw+3Q6SemFtAtoRJeWykPj/J/P09LXkaGdGpOUXsiM5aeITMihsYsNr45rw7AG2pPQ29WGyQObKnXCmUwmzD/Bkikdqqaui0kpoEcLF758oh02Vsp0BrvOZPLM8ihmrotlw8vVHVEWPdGO3WezSMooop1fjTrhtwRaNqlRJ3wXQ2RyRZ1wdxDDOjacOiHhSj4LNsbw4OBmhLZwq7OcVqev80Vc5fLS8uocVF++0IPdJ6+SmFZA+2YudGml3Ld8sSGGVk2duLOrN0lpBby6OILI+Gwau9gy46F2DGvAo5Hk3K0/3i7WTO7nQ3JWCbuis5jwZRRLHg8hxMcBvUFZ//yd/lWjOgCOxucyeWkUb6y/wO8zumBdkRh40aQ27I65RlJmMe2aOtKlopf2/O3JtGxsz9B2biRlFjNj7XkiL+XT2MmaV0cFMqyB5pjydrFhcv+K2J7NYsKiSJY80ZYQXwf0BoMS22EBVaM6AI5ezGHykijeWHee31/rWh3bx9qwO7pGbJtVxHZbknLetnNXYvt9rBJb54rYdmg4ozoSrhawcOM5HhwcSGhQ3SNbb1jnWlbWudXTyix6Xqlzk9IKaFejzp2/IYaWTZ0Y2kWpc2d8dbyqzn31wbYNv84d7K/UuZHpTJhzlCXPdCakorG40vG4bKIv5dM72I1WPqZzYC76Tyi7ozJISi+iXYAzXYKU+9f5W+Jo6ePA0FAvktKLmLEqisjEXBo3suHVsS0Z1qnh5JPRaFT4NGnER/8dR/cu1VMnbvr1JK+8uZY33v2Bjd8/i1arrzORfeXy0jJt1bIv505iV3gMScmZtG/blC6dlE62X3z5O61aNObOO9qSlJzJq2+t4/SZSzT2cmLGiyMZPsT0dGQNhdXYZ9G0CEV36bzJ5OLqgBDUvi3QxR7HcDXB5DZKV7yLpk0PVO7e6JNj0VfMDmE5dCKGqwnoovajcmuC1QOvom7aCkNuJuVblqKL2levxyZEQ2FWDRx10ev1vP/+++j1+qpE0Tk5OVU99q9XOWqjoKCgalmXLl1ual85OUoiLCcnp1rrKhtT8vNvbu79nj173lS5uixZsoSUlBT69etHkyYN88XJn/HSSy9x4sQJPv/8c0aMGFG1fMWKFXz00Ue8/fbbzJs3jw8//JAdO3bw8ssv8+STT1aV2759O9OnT+fZZ5/lhx9+AJRpr2omLa8UFBTEpEmTWLhwITt27OCBBx6o/wMUN624vBQrjekeQdYVjRWFZcooi+KyUqycTFeF1pbGZSvtio1gV2xE1b+9nFyZNuA+Xtkwn5LyUlZMfJuQJoHcu+R12vsEMf/+lziTepE950/8z8d2u42rkeByz9lMpi6N5LVvo9n0WjdUNUYB/Hzsaq3y11OpVAxqZ/yQHHM5n22n01n0ZHtUKhWvfhNNSZmOxVM6EB6dySurztLKx4FAzz9OTmpu7utQ/TIm/GIuz/wQx+u/JPDT5DZGsQVltMfig1doZKvhy/uCao30UKlUDGrRyGhZTFoR22OzWXhfECqVitc2J1Ki1fPlfUGEx+fy6uZ4WnmGEOBqQ0MzrkYSzz2RaUxdEMFrYafY9G4/Zq2JZuepNF66tzVPDKt+QNx+4grPfXmC5xcfZ92b1VNXqlQqBnU0nmomJjmXbSeusGhaF+W8XXZKOW+ndyU8Kp1Xlp2kla8jgY1NN/aZs3E9rqsTlkfx2uoYlv+nejTkjLuDql4QAwxq6063oEYcjcshMaOIgIpesSqVikFtjV9KxqTksy0yg0WPt1Ni+12MEtsn2xMencUr30TTyrth1AkGg4G3lp/EzcmaF8ebzhVRycZSQ7nW9BzNZRXLba2r6wWVSsWgTsb3ijFJOWw7lsKXL/RUYrs4guIyHV+92JM9p9N4+ctjtGrqRGAT0y+YzJ2cu/VnXI1k6ntirjF1ZTSvrT3PphdCeWpQU54aVLujWLdmzozq6MnPJ9I5Fp9bNdJApVIxqI1xY19MagHbzmSyaJJyfXx1zXlKynUsfrQN4eeyeeX7WFo1sSfQw7bWfszduO7Xxfbrs7y2JpZNL3XiqcF+PDW49qjZbs0bMSrUk5+Pm4htyHWxTSlgW1Qmix4LUWL7faxy3k4OITzmGq+sjqWVtz2BdYxmMCcGg4G3l5/E1cmaF8b9D3VuRcOGXY08aXXWuRGpLHq+hxLbr45TUqpj8Qs9CT99lVcWR9DKz7lB3isAjOtd/W5mz5kMpi4+yWurotj0Zi/jZ4ijyij8cb3qbuxRqVQMam/cQBxzKY9tp9JY9J9QJb4ro5Rz9+lQws9k8srXUbTycSTQ649z1JiDd16/B16vvfyuEaGs+/Eox04kEJ+YgY21BeVaXe2CQFlFRwhb2+rOfCqVisED2hiVi4lNZduOMyyeNwmVSsUrb62luKScr754lPD953j5jTW0btmEQP+G0/hZRa3G6t7nseg6FH1WKmUr3wWdtlYxi87KDDDao7/VWleTLvqw0b9VTZqhadeH0hXvAmD1wKuorGwo/XommtbdsHpoBiWz4zFkpvwthyNEQ2b248kMBgMzZ87k0KFDtG3btmqEh1arrTPpduXy0tLaU9L8kfLycqNtmNpuWVnZn97un/XTTz+xYMECHB0dmTlzZr3v75/u6tWrHDp0iK5duxo1bgA8+uijBAUFsX37dvLz89m0aRM+Pj488cQTRuWGDh1Kv379iIqKIi4u7g/32aaNcuG/0YgfcXtkF+XjbGv65rVyeeVUVdlF+dha2WBlUbtBxNnGuGxd3hr+GOn52Szd/zON7By5N3QAn/7+HZsi9/HBb19zIjmWZ/o3vKnMBoS406OFC3FXC0nOrG4EMhgM7Dmbia2Vmn5t6u6BbMq8X+Jp7+/EgBB3YlMKiEzK4/lRzenXxo3Xx7TAyc6C9Qcb/g1e/+bO9PB3JC6zhOSc6muVTm9g5m+JLD54BTc7C5Y/0JKgm3yBM39fKu297enf3JnY9CIirxTybD9v+jZ35rXBTXGysWD9qcz6OqR/jAHtvejR2p241AIS0wrZfDgFHzdbHr/TOPni0E5N6NvWg6jEXOJSb9xxYd5P52kf2IgB7b2IvZxHZEIOz49pRb92nrx+fxuc7CxZvy+5Pg/rH6FmnZBdqNwvWWpUtDCR8LZ1RV6eS5nFtdbVNO/XBNr7VdQJqRV1wohm9At24/V7gpQ64ZDpKQnNzXc74jl+Pot3Hu2I/R9MT+dkb0l+ce0HbKiemsqxjqk/Ks39IZr2zVwY0LExscm5nL6YzfP3taFfh8a88XA7nOwsWbcn8S8di7mRc7f+DAh2pUfzRsSlFZGcVXLDsm18lHhfzr5xuXnbkmjf1JEBwa7EXikk8lI+z9/pT7/Wrrw+uhlOthasP3L1bzuGf6oBwa70CLrZ2Crn7eVrfyK2qYVEJufz/PAAJbZ3NVdie7hhxHb1jgSlzp3U4X+qcwsqpqYylROppnk/xhjVuZEXs3n+vmD6dfDi9Yo6d/3uxL90LOZmQFsPerRyJe5KIckZ1z1DnKl4hmj7516Wz9sSR/sAZwa09SA2JZ/IxFyevyuIfiEevH5fK6XOPfDveG5vE6w04F9OuYaTky35+ab/7iuXVyYRr8vchdvp0LYpA/q25tz5K5yOusQLzwylf59WvPHyKJwcbVn349G/9yD+CSytsZ70rtK4kXGZ0q9mYMi7ZrKoOrg7hrISdOeOmVxfF6thk9BfikV/7iiqxoFo/IMp37oCfWwE5ZsXQ3EBFt2H/x1HI0SDZ9YjOLRaLW+//TYbNmygadOmLFq0qKqRwcbGpqox4nqVDRC2tn++V4+NjVL5m9r2/7LdP2PdunW88847WFlZsWDBApPTZf3bXLmiJNlq1qyZyfXNmzcnLi6OuLg4ysrKCAwMrNUjGpSRGXv37iU1NZWgoCDi4uJIT0+nZ8+etcpXNpBZW9dO2CVur/PpyfRvEYqNpXWt3BqB7t7o9DoupF+qKtsnqAMBbk04n5ZcqyxA7HVJwmryc23Mk73vZuqaTynXaWnm7o2FxqJq+5X7aOVVu0edOdDq9ByNy8FggN6taw/d967o7Z9dWE5lp53oy/lk5JUxpL0Htlamh0SbcjIhl/DoLMKmdgQgKUPJLeRf8QLfQqPG183WqDHFnGn1Bo4l52MwQK/A2qMCvSuShucUafF3UXplv/BzPHvicvFxtmLp+Bb43+Roi1MpBYRfzGX5/S0ASMpW/i78XZTPW6hV+Dpbcynnzzf8/xNpdXqOxl7DgIHebWo/IFdOOZVTWE6ZVk9gYweT14QW3o7sO5PBlWvFBHmb7sV+8mI24VHphL2o5OZKSlMaRP09lRd1Fho1vu52JKc3jFxZVXUC0LuViTqh4pwqLtPh6WxFZl4ZeoMBDcbx1eqVeYVtblBHnEysqBOeVnrU11knZDWMOmHbMeVl91OzD5lcP+mj/QDsmD2UgMYOHDuXSUmZrlYML2cUoVaB/w16qZ68kEX46TS+ntEbgMQ0ZVRzgJfyEtRCo6appz2X0m/cwG9O5NytP1qdgaPxuRgMBnq3rD3VobeLcq+cXVhOQamOolIdXSumQ6qpcoof6zqmAgI4mZRH+Llswp5sC0BSxT2Bv3tlbFX4utqQfK0BxfZixXn7R7Et0VFU9j/ENjGP8JhrhE25QWzdbP6wMcVcbItQOsz8Z85hk+snfazkx9zx2ZCbqnMDblTnxl0j/HQaYa8qdW5SRZ3rX6PO9fW0J7mh1bkXspVniODaHZ68XZXzKruwDH+UEUHRl/LJyC1lSEfPP/cMEZ9D+JlMwqZ3BiApvbLOve5erKE8Q2h1RMemYtAb6NCu9jNmSYnSGGdtbUGAvzvHjidQUlKOjY1xI1xK6jXUahX+fnVP6XfydBJ79p1jxWKlc2hSstIZqvIzFhYamvq6knw56285tn8MWwesJ7+Pxj8YfUocJcvehMJck0VVPkGondzQRu0HE3k966L2C0YT3J2SJa8p/65496CvHK2h16PPuoLKTWZrud0kB4d5MNsGjuLiYp577jnCw8MJCAjg66+/xsuresoIJyenOqeKqlxeOVXVn1E5NVV+fn6tvAuVU15VbnfFihW1vkO3bt1MJii/WfPnz2fBggXY2dmxcOFCevTo8Ze31ZBU/i7qyn+SlJSESqXC29sbS0vLG5YD8PBQXoi98847REREsGHDBkJCjIcuHz9+HFCSm4t/lv1xpxnUqgt9gzrwe0x1bxJrCyt6BLblbGoCBaVFVWUn9xpN/xahtRo4BrTsRE5RPjFXE+vc1zsjHyfp2lVWHlaSjVmoLSr+W31TbmNhZdY5wqYujcTeWsPe9/ugue7iHptSgEoFvq7VDbunEvMAquYgv1nzfrlI9xaN6Fnx4qnyJZJWVx28Mq3e5Itoc/XMj3HYW2nY80z7WrE9l16MCvBpZI3BYOCVzQnsicslyN2GpeNb4OloepSiKfP2ptLNz5EeAco1TFcR28r/ApTq9DSg0DJ1wTHsbSzY+9kdtc/bS3moVODZyBpLC3XVy93rJVW8aHB3qrshe97GWLq3cqNnsHIdqjpva8S2rLyBxXZ5lFInvNe7dmxTK+oEN1s6N2vEbyfTORaXQ6/rXiifvZSPhVpFkFfd05zM+yWe7kGN6Nnyujrh+tj+XQd2m43p60e31rVfMuyPSuP0xWzu6eOHj7sdTnaWdG7pxpGYTCJiM+nTrvr+t7RMx+mL1wjydbphb+K5P0TTPdidniHKFB86Xe3Yljag2FaSc7f+TF0RrcT2rW61Y3ulsOJewYbx80+TllfK/re742JvfI4er7h/CPGte4qeeduS6N7cmZ5Byj2Gydhq9agaUHSnfl0R25ndTZy3NWL7xSnSckvZ/06PumPb9Aax3ZqoxLaF0pDS0K9nY/qYrnP3RaUTeTGbe/o0xcfdDkc7SzpV1LnHY7Po3a56aqSqOtfHCfsb1Lnzqupc5RnTdGx1DSa2laYuPqmcux8NqH3uXs6vqnMrnUpQpgOvzKlxs+ZtvkD3li70bK00pFTHt3pasYZU5+r1Bh56dDF2dlYc2vU2Gk11w6XBYOBkZBIWFmqCW3nTuWMAR47FE3EygT49W1aVKy0t51RUMkHNvXCwr/s+9/OF2+jetRk9uys5X3U6vdF/lW1pG9TzGRaWWD/2Hhr/YHQXI5Xpo0rr7qik8QsGQB8f9ad2YzlsErq4U+jjTlVsqOL9QY33CCpL836PIMStZJZTVOXm5jJp0iTCw8Np06YNq1evrkoKXSkgIICsrCxKSmr3MElJSUGtVuPv7/+n9x0QEACYnpaocllgoJKIadWqVSxYsMDo5+jRvzZ0r3IqrgULFtCoUSNWrFhBr169/tK2GqKmTZsSEhLC0aNH2bFjh9G69evXc+7cOfr06YOXlxeDBg3i8uXLfPPNN0blDhw4wO7du2nevDmtW7cGqEruPnfuXLTa6mHJJ06cYN26dfj5+dG3b9/kw9pwAAAgAElEQVR6PjrxZ313bBtanZZ3Rz5hNPXUG8Mm4WzrwJIaicF+Or2XvOJCXh0yARe76l70j/UcRSsvf5Yd2IShjruKFp5Nmdh9OO/+sgydXpnD9EL6JXR6HT2aKQ1fGrWGLv7BnE83z+lpLDRqhrT34FpBOWE7jUeyfL//Mmcu5dO/jRvuTtUv22MuKw277fxrj0qoy6HYaxy5kMNzI6tzIFTOS346SXkozy0qJzG9iIAGMqe2hVrFHS1duFakJexomtG6NSczOHu1iH7NnXG3t+S74xnsOJ+Dn4s1Kx5s9acaNw4n5nE0OZ9n+1ZfJyvzbJxOVV7g55ZoSbpWgr9LwxiRZqFRMyS0MdfyywjbdtFo3fd7kjiTlEv/dp74uNkxsL0nlzOL+XancULAA9EZ7D6dRvMmDrRuavpcPhSTyZHYLJ67p/qBsXJu59Px2QDkFpaTmF5Q1TPe3Flo1AxpV1En7DKu174/kKLUCcFuuDtaMb4iB89nmy9SWFJ9Df31ZBqnk/IYEOKGi4Ppc/nQ+WscicvhuRHVIzNN1gk18iCYu7F9/Zk+NrjWT4fmykvyMX39mD42GCd7K0b1aopGrWLBxnNVc2gDfLU5loJiLeMHBNS5n0Nn0zkSk8lz91XPsR3YRDk/T8cpUy/kFpaReLWAgAY0F7ycu/XHQqNiSFs3rhWWExZu/Iz0/aErnLlcQP/WLrg7WnFnezf0Bvh8a6LR/dXWyEzCz2XTJdCJlo1N94Q/FJfDkYu5PDe0+hmuMs/G6WTl3iO3SEtiZnHDuVfQqBjSriK2e66L7cHUiti6VsTWXYntb9fF9nQG4THX6NLsBrG9kK3EdlhA1bKq2CZVxra8QcV2TF9/po0JrvXTobnycn1MHz+mjVHq3NE9fZU696fr6twt52+izs1Q6tx7g6uWVebZMK5zCxtendvBU6lzdyQarft+7yXOJOfRP8TdqBNJ9TNE7VFIdTl0Losj57N5bnSLqmVVdW6C0uNeeYYoJKCB5DyysrJgYL/W5OYVs+TrPUbrwr7Zx/kLVxk1rCNOjraMHhGKRqNmweIdlNVIJr54+W4KCkq5f2y3Ovdz6EgcR47F8/zUO6uWBQYojXSnI5XraG5eEYnJmQTcYBSIubEc9hiagBB0idGULn/rho0bAGof5flVf/n8Te9DHdQRTVBHyretrFqmT1fqeLV/RV1h64DK3QdD5r9jajUh/ldmN4KjtLSUp556itOnT9OtWze+/PLLquTeNXXu3JkjR44QERFBnz59jD5/6tQpgoKCTH7uj3TurAx7PHbsWK0X20ePHkWtVtO+fXsAdu3a9ae3X5ePP/6YtWvX4uXlRVhYGEFBQX/bthuKWbNm8cgjjzB9+nQGDhxIYGAgsbGx7Nu3Dw8PD9555x0A3njjDSIjI/nggw/YtWsXbdq0ITk5mR07dmBra8vHH39c1QPhgQceYNu2bezdu5d77rmHPn36cOXKFXbu3ImlpSWzZ8/GwsLs/owavPNpyXy2YzWv3TmRk2+sYnPkfkK8AxnVrg/7406z9MDPVWWzi/J4deMCFj80g1NvrmLd8Z34NPJgfOfBxKYlMWvryjr389/RUziXlsSaiN+NtvfT6b28OmQCbvbOtGkcgK+LJ/N3r6/XY65PL98VRMTFHOZsiedIXA6tvB2IvpzP4fPZ+LrZ8N79rY3KV85L7ud+8w/Ac3+Jp2+wG6GB1Q80wb6OhDR15JONF7iQWkDExRx0egP396476aC5eWmAD8cv5TM3PIWjSfm08rQlJq2Iw0n5+Dpb8e6dfpRp9Sw+qEzD19LDltUn0k1ua3xHDzwcavcenLc3lb7NnAit0SM22MuOkMZ2/N+uS1zIKCbiUj46g7KNhuLl+4KJuHCNORtiOXIui1a+TkRfyuVwTBa+7ra890g7AF6/vw1RiTl8uCaaXafTaePnRHJGETtPXsXW2oKPHutQZ6+0uRtj6dvWg9Cg6h7ewX7OhPg788m6GC6k5BNx/ho6PdzfzzynqTPl5dHNiYjPYc4v8RyJy66oEwo4fCEbX1cb3hvfCoAeLVx4pK8v3+y7zOj/O8rQ9h6k5ZSyPTIDd0crXrunRZ37mPtrAn2DXY3rBB9HQnwd+eSnOC6kFhIRX1En9PKuczsNVbMmjkweHsTSXy4w5u3dDAxtzIXLeYSfTqNTC9cbvmyb+0M0/dp70alF9ZQhwf6NCAloxMerozh/OY+Ic5lKbAcF3oKjuXXk3K0/L48IICIhlzlbkzhyMZdWTeyJTi3gcFwuvq7WvDdWeXZ5erAf+2KzWX80jdgrRXQOcCIhs4jwc9l4OFoxa1zLOvcxd2sSfVu5EBpQ3egc7O1AiI8Dn2xJ4MLVQiIS8pTY1kjGbe5eHhlIRHwuc35L5MjFHCW2KYUcjstRztt7K2J7hx/7zl1j/ZGrxF4pVGKbUUz4uWt4OFkxa/wfxLb1dbH1cSDE14FPNscrsY3PVWLb4983XUpgE0ceGx7Esl8uMHbmHgZ0bExcSnWdO25A3R0n5/4YTd/2XoSaqHM/+f4MFy7nERGbpcR2YED9H8wt9PKYlkTEZTPn5wscOX+t+hki9hq+bra896BxMutLFdP5+f2JRrS5m+Po28ad0GbVI8eDmzoR4ufEJxtilWeIuGx0BgP39/G9wZbMy4yXRnIyMpm5C7dzNCKe1i2bcCYmhaMR8TQP9OS1l0YC0CzAg8mP9GXpinDueeALBvYPJu5iGnv2naNTR3/G36CB4/OF2+jXuxWdOlaf38GtvAkJ9uGjOb8QG3eViBMJ6HR67r/vr89S8o/i4IJFr1EAGNIvYTlwvMli5bvXglaZtr5yCil95s3n1bK8cxK6c0fRJ8VULTNciUd3+TxWo55E2zgATWBbUKvRVswUIYS4Mc2777777u3+En/Gp59+ytatWwkNDSUsLAw7O9Ot8J6enqxZs4akpCTuuusuNBXDvRYuXMiBAweYOnVqVUPE9fLy8li1ahXNmjVj5MiRRuu8vb3ZuHEjp06dYvjw4VVTVh06dIj58+czdOhQxo4d+6ePKyUlhY0bN9KhQwf69etntG7nzp18+OGHNGrUiDVr1lSNEBHG3N3dGTZsGHl5eURERHD48GGKi4sZNWoUs2fPrhrl4+DgwKhRoygpKeHkyZMcPHiQa9euMWjQIGbPnl01egNAo9EwatQoNBoN586d48CBA2RkZNC/f3/mzJljVFaY9t4vy+pt2x19W3JPx/5sjT7MkYSzRut2njtGRkE2Xf2DGd62J3ZWtoQd3MKU7z6iqMx4ZNfx5HPEXE0ktGlLRrbthaeTCz+e3MPEFe+RWZBjct/tfYKYP/4lnv7+01pTWG2LPkKQR1PGdx6MjYUVL/4wj02R+/7WYwd4p/WtecB0sLFgZGcvCkp0HI/P4cj5bMp1esZ29+aTR0Jwv240wYrdyeSX6HhhVLObGq68+0wmYbuSmfNoCJ7OxiMI+ga7EZNSwLZT6dhYafjgwWA6BNx8r66/ypB/a3JROFhrGBHsSkGZjhMpBRxJyqNcD2PaufHJ6EDc7C05n1HMqgilUSM+q4RjlwpM/owKca3VwLE7Loevj6bx2V2BeF7X27hPM2di0orZfj4bW0s1/x3uTwfv+u85qHK9Nb0THWwtGNnNm4JiLcfjsjkSm0W51sDY3k355PGOVT0GHWwtGdndh5IyHafiszkYk0l2fhmDOnjx6RMdaVXH6I3dp9MI2x7PnCmd8GxknAulb1sPYpJz2XbiqnLeTmpPh2Z/brqFv6TMdO6xv5uDjQUjO3lSUKLleEIuRy7kUK7XM7ZbEz6Z0MaoTugb7IaPqw1xV4rYe+4aGXllDG7nwWePhOBTRw6Z3WcyCdt9iTkTTdUJrsSk5LPtdIYS2/tb35I6AUBld3M5b/5u+yKVKarG9PXD16O693XPEA9cnaw5k5DN3sg0Ssr0jO3rx/uTO2FXR8LcXSevEPZrHLOndsXTxfgFUr/2XkQn5bLtWKoS2yc6VY0eqXfFt2ZO/3/luVtjGpH65GBjwciOHkpsE/M5cjGXcp2BsV28+OT+VlWxtbZUMyrUkzKtnqjLBRy+mEN+sY7h7d2Z/VDrqpwS19sdnUXY3hTmPNQaTyfj61nfVi7KvUJUFjZWaj64rwUd/G5+FOlfdoumZFFi60lBqY7jiXkciauIbVcvPnnwuth2qojtpQIOx+WQX6JjeAcPZj/cuirPzPV2R2cRFp7CnIdb43ndlIx9W7sqsY3MVM7b8bcotva3r6f9vqg0Ii9mM6aPHz4169w2Hrg4WnMmIYd9UWmUlOkY29ef/z4WWmedu/vkFcJ+i2PO013xvC7+fdt7EpOUy7aIijr38dBbV+feyvuFLk2UeuFiDkdirynnbk9vPpnUrtYUoCt2JpFfrOWFu1rc3DNEVDphO5KYM7l97To3xJ2YS/lsO5WmxPfhEDoE/rnpc/8KVdNb867GydGWkcM6kJdfwsnTSRyNiEev0zNuTFf+7/37cXau/hvq2T0IVxcHzkRfZu+B85SUlHHv3V14/+17sbMzPRpxV3g0y1ftY87HD+LpYfw33693K2LOpbJtxxlsbaz48J176WgiF8jfrXzP8Xrfh6ZFKBadBgOg9glC07y9yZ/y8B+rGjgs+90LNvZot664uX0Ed8dywDhKv/sI8o2TluvPHUPt0wJN+z5QXkr5D3PRX4r9W4+xLpZDJtyS/Zijj/asQqVSmf3PGwMn3e5Q1iuVoa65V/6BMjIyGDhwIOXl5dx77700aWL65d6UKVOwtrbms88+Y+nSpTRv3pyBAwcSFxfHnj176NSpEytXrqxKSH69y5cvM3jwYAYPHsyiRYtqrd+zZw9Tp07F0dGR0aNHU1RUxObNm3FwcGDdunV/Ken3kSNHmDhxIhMnTuTNN980Wjd69GjOnz9Pjx496NKli8nPjxgxgubNm5tcJ8TtpHpa8sTUF93dobf7KzRY+lTTSeTE/04d1HB61f7jFDSMROb/VCq3+n8x8m9lyDLdmUD8DW7Ri8x/JUk6Wn88ayelFn8juV+oN+peg273V2iwit796nZ/hQbN7v+23u6v8I/lMHPw7f4Kf4uC/+683V+hXpnV3DqnT5+mvFy5Sf/xxx/rLDdp0iSsra156aWXaNKkCatXr2bVqlV4eHjw6KOPMm3atDobN27GgAEDWLZsGQsWLOCHH37Azs6OgQMH8uKLL/6lxo0byc/P5/x5ZS6/w4cPc/jwYZPlgoODpYFDCCGEEEIIIYQQQgghxL+GWY3gEEKYHxnBUX9kBEf9kREc9UdGcNQj6ZFZr2QER/2RERz1SEZw1B8ZwVF/ZARH/ZL7hXojIzjqj4zgqF8ygqNuMoLDPJjVCA4hhBBCCCGEEEIIIYQQor6ppEODWVDf7i8ghBBCCCGEEEIIIYQQQgjxZ0kDhxBCCCGEEEIIIYQQQgghzI40cAghhBBCCCGEEEIIIYQQwuxIDg4hhBBCCCGEEEIIIYQQogaVSnJwmAMZwSGEEEIIIYQQQgghhBBCCLMjDRxCCCGEEEIIIYQQQgghhDA70sAhhBBCCCGEEEIIIYQQQgizIzk4hBBCCCGEEEIIIYQQQogaVGrJwWEOZASHEEIIIYQQQgghhBBCCCHMjjRwCCGEEEIIIYQQQgghhBDC7EgDhxBCCCGEEEIIIYQQQgghzI7k4BBCCCGEEEIIIYQQQgghapAcHOZBRnAIIYQQQgghhBBCCCGEEMLsSAOHEEIIIYQQQgghhBBCCCHMjjRwCCGEEEIIIYQQQgghhBDC7EgODiGEEEIIIYQQQgghhBCiBsnBYR5kBIcQQgghhBBCCCGEEEIIIcyONHAIIYQQQgghhBBCCCGEEMLsSAOHEEIIIYQQQgghhBBCCCHMjuTgEEIIIYQQQgghhBBCCCFqkBwc5kFGcAghhBBCCCGEEEIIIYQQwuxIA4cQQgghhBBCCCGEEEIIIcyONHAIIYQQQgghhBBCCCGEEMLsSA4OIYQQQgghhBBCCCGEEKIGycFhHmQEhxBCCCGEEEIIIYQQQgghzI40cAghhBBCCCGEEEIIIYQQwuxIA4cQQgghhBBCCCGEEEIIIcyO5OAQQgghhBBCCCGEEEIIIWqQHBzmQRo4hBDCTGWGnbrdX6HBcghwvt1focEq3p18u79Cg+XUv+nt/goNmu7kldv9FRqs8sv5t/srNFi6cv3t/goNlm2w6+3+Cg3XhWtoXGxu97dosNTecp9bX3Y3f/12f4UGrfsjAbf7Kwgh/qGkgUMIIYQQQgghhBD/CNK4IYQwxe7/tt7uryCE+IeSHBxCCCGEEEIIIYQQQgghhDA7MoJDCCGEEEIIIYQQQgghhKhBcnCYBxnBIYQQQgghhBBCCCGEEEIIsyMNHEIIIYQQQgghhBBCCCGEMDvSwCGEEEIIIYQQQgghhBBCCLMjOTiEEEIIIYQQQgghhBBCiBokB4d5kBEcQgghhBBCCCGEEEIIIYQwO9LAIYQQQgghhBBCCCGEEEIIsyNTVAkhhBBCCCGEEEIIIYQQNahUMkWVOZARHEIIIYQQQgghhBBCCCGEMDvSwCGEEEIIIYQQQgghhBBCCLMjDRxCCCGEEEIIIYQQQgghhDA7koNDCCGEEEIIIYQQQgghhKhBpZYcHOZARnAIIYQQQgghhBBCCCGEEMLsSAOHEEIIIYQQQgghhBBCCCHMjjRwCCGEEEIIIYQQQgghhBDC7EgODiGEEEIIIYQQQgghhBCiBsnBYR5kBIcQQgghhBBCCCGEEEIIIcyONHAIIYQQQgghhBBCCCGEEMLsSAOHEEIIIYQQQgghhBBCCCHMjuTgEEIIIYQQQgghhBBCCCFqkBwc5kFGcAghhBBCCCGEEEIIIYQQwuxIA4cQQgghhBBCCCGEEEIIIcyONHAIIYQQQgghhBBCCCGEEMLsSA4OIYQQQgghhBBCCCGEEKIGtQwNMAvyaxJCCCGEEEIIIYQQQgghhNmRBg4hhBBCCCGEEEIIIYQQQpgdaeAQQgghhBBCCCGEEEIIIYTZkRwcQgghhBBCCCGEEEIIIUQNGpXqdn8FcROkgUM0aJ988glhYWGsWrWK7t27myxTVFTEyJEjueOOO3jzzTeN1j3yyCMcPXr0hvuYNm0a06dP/9u+s7h5TZzdiXlnDe9sWcq8XWtrrX+k+3BeGPwALT39yC7KZ93xnczcsoTC0uJaZUe07cVbwx+jrXczistL2Ry5n9d//pKM/Gyjcj0C2/Llg6/S0suPM6kXeX79XA7FRxmVsdRYcP699fx4cjcv//jF33vQt4Ha2RX78U9gFdoLdSNX9AV5lEcdo2DtUvTpqVXlVDZ22N37GNbdB6Bx98JQXET5uVMUrluONumC0TatOvfBYeKzqF3c0MZFk7/8M3QpSUZlVI7OuM3/kcI1iyne+sMtOdbbwsEFy6ET0LTuhsqhERTno7twivLtqzBcuwqAzWsrUbt63XAzpWtnozv+OwCaNj2wHPUkKkdX9JdiKftpIYb0S8YfsHPC9rWvKd+6Eu3BTfVyaLebytkVuzGTsezYE7WzK4aCPMrPRlD043L0GdXnLtY22I58COvug1G7N0afnUnp4Z0Ub14FpSVG27QM7Y39Q9NQN3JDGx9D4co56FKvO3cdnGk0Zx3F65dQ8vuPt+JQb7mcYi2LDl5h78VcMgrL8XG25p62bkzs4omFuvohoLBMx+KDV9hxIZcreWXYW6np7OvA1F5NaO1lZ7TN3XE5fLo7hYzCcto1sePNO5rS3M3WqEx2kZZhS8/wbF9vHu7keUuO9Zazb4RFvwfRBHUBe2coLkCfcBrt3tUYctKqy1naYNFnPJo2fcC+EYbcDHRRu9Ad2QS6cqNNqlt0w+KOx1A5uKBPvYB261cYsi4b79fWEetnlqDd8y26iF9uwYHeHionF6xGTsKibQ9UTi4YCvPRnTtO6ZYVGDKvVJWz7D0Cmwkvm9yGLiGaov+bVvVvTfte2Nz7H1RObuiSzlG6Zh76q8nG+7V3wv797yjdFEb5no31c3C3mcrJFZu7HsWyfXVstTHHKfkpDH2N2F7PauAY7B5+jqKwjyk7uNVonUWHXtiOn4ra2Q1tQgzFq+eiv3JdbB2ccfpoNcUbl1G2q2HGFhsHND3vR9OsM9i7YMhLR39mF7rjm8GgNyqqbjMATedRqFy8oaQQXewBdAfXQLnx9UzdvCua/pNQ2btguBqHducSDNdSjPdr64jV41+iPbAa/clf6/sob4ucYi2LDqSy92Iu6QXK9WxMOzcmdvUyup4VlekIO5LG1nPXSM0rw9PBkuHBrjzZozF2Vhqjbe66kMOnuy+TUVBOuyb2vDWkKc3da1/P7vwqiuf6+fBw5wZ6PQOyC8tZtDWB8LOZpOeV4etqw5juTZg0oCkWGuMJRfbFZLF0RxLRl/KxtFDTtqkjz45oRjt/J6Nyu6Iy+OSnODLzymjn78jb97WieWN74/0WlDHkv4d4flQzJvRrWu/HeTtZeXnSfe8vJHw2n8tLVxmt09jbE/DC07iPGIKNTxN0BUXkHI0g8bMFFJw9Z1TWbehAgt6ZgZWXB/knozj/xn8puhBvVMbStRE9Du8g/uO5pIR9W+/HJoQQN0umqBINVmRkJCtXrrxhGa1Wy8svv0xqaqrJ9WPGjGHatGm1fp555hns7OxQq9V07ty5Pr6++AP21rZseOpjnG0dTK5/7c6JrHr0HdQqNfP3rOf05Qu8eMeDbJ8+D0uNcdvuA12G8Mszc/B0dOHLvRvZFXucR3uO5ODLS4y2b2NpzcanPsHV3okv927AwdqObdPn4uXkarS9KX3uwc3eiY+3Gd9gmiO1sysuHy3HdsgYdCmJFP26Dm1cNNa9h+L6URiaxr5KQWsbGv33S+zvnoAhN5vi39ZTFnkUq9DeuHy4FMtW7au36eKO8wsfgLackt9/QtO4KY3enAuW1kb7tr9nIoaifIp3/HwrD/nWcnDBZvo8LHuMxJCejPbAz+gunUfTcQA2079A5e4NgHb/Rsp//7b2z+51GPQ6DGUl6C+fB5QXTFYPvwFaLdojv6Jy98H68Q/Bwspo15YDx2MoLkR75Ldbfti3gsrZFed3l2Iz+B50qUmUbFuPNj4Gq55DcH5vKWqvinNXrcHppU+xGzMZfU4mJb//iC49Bbu7J+L8xgKwrI6bqpEbjtP+i0GrpWTXJtRevji+MseoDIDt6AkYCgso2d0wG44Ky3Q8sjqW1ScyCHK35cFQDxytNMwJT+G5ny5iMBgA5WXQxNXn+fpYOq52FjzcyYOeAU7sjc/l4dWxnLhcULXN9IIyXtqUgKVGxfgO7iRll/LU+jhKyo1f3C07chVHaw3j2rvf0mO+ZewbYf3YZ1h0GoY+8xK6o1vQp15A3bYfVo99hsqliVLOwgqrCR9g0eteDGUl6E5sw5CdiuXAiVg9+I7x37uDK5ZjXwGdFt2JbahdvbF68N1adYJFr3uVl6Ent926473FVE4u2M1YhFW/u9BfTaZ89wb0Seew6DoY+xmLUHn4VJVV+zQDoHTb95RuWWn0U36g+kWvytkN2ydmYtBqKd+/GbWHD7bTP6lVL1jd+RCG4gLK92+5NQd7i6mcXHF880usB9yF7koSpTt+RJcQg2W3wTi8tRi1p4/pz7l6YXvvk6bXObth/593QVtO6d5NaLx8cXj+01qxtR7+EIaiAsr2NszYYmmD5QOzsOg0En3WJXSnfoPSIiz6T8Li7hlGRTXdxmI5/FlAje7kr+gzErHocheW980EdY37X3sXLEa9pNQLkb+jcmmC5b0za9ULmm5jobQQfeT2W3Cgt15hqY5Hvo3lu+MZNHe35aFOnjhaa5i9J4VnN1Rfz7R6A1N/iOPLg1fwcLDioU6eNG1kzZJDV3n0+/OUaquvVen5Zbz0czyWahXjO7qTnF3ClHUXal/PDldczzo00OsZUFiiZcK843y79zJBTRx4uK8vDrYWfLbpItOXR1XFF2DdwRSmLD5NUkYRY3s0YVBbd45dzOHheceJSsqrKpeeW8oLK85iaaFmfC9vkjKKefLLU5SU6Yz2vXRHEk62FozvZbruaSg0dna0Xf4FFk6OtdapbW0J/elb/J55gvLMa1xe/i3X9h7AbXB/Om1eg3PX0KqyVl6ehHw1F0N5OanfrMM20J8O3y9DbWP8fOY3bQravDxSv63duVAIIW4nsxzBkZGRwfz58wkPDycrKwtnZ2d69uzJc889R9Omxq3zP/30EytWrCAxMREnJyeGDx/Os88+i729fR1bB71ez/jx4/H09GTRokV/+H2mTp3K1atX2bBhw58+lg0bNrBy5UqSkpJwdnZmxIgRTJ8+HTs7uzo/o9PpGDduHL6+vnzxhfn3Dq8PZWVlvPnmm+h0ujrL5OTk8OKLL3LgwIE6y4wdO9bk8mXLllFUVMRTTz1Fr169/ufvK/4cP9fGbHjqYzr7tTa5vqmLF/8dPYWDFyPpP+dptHrlPHhv1JPMHPk4U/rcw8JwZUSAvbUtC+5/mYsZlwmdNZH8kiIAtkcfIWziW7w1/DFe2TAfgFHtetPY2Y3unzzO0cSzzNnxPcmzfuLhrsOYs3M1oDSCvDn8Ub7YvZ7Mgpz6DkW9sx//BBr3xuSvnEfxL2uqllv3GYrzs+/hMPFZcv/vVeyGjcMyoCVFv66lYMXcqnKWwaE0mvkFjk+8wrVXHgHAps+dYGFBzgfPoc/OpOTwLlw/XIZ1p56UHtkDKI0gtkPHkr/ic9Aa90RuSCyHTkDt4knZ5iVo91VfQzShA7F+cAaWo6ZQtuJdtPt/Mv35e55BpdZQunkBhrSkis8OAo2G0mWvY8i7hi5yHzbT5qJp3RXdGaW+Uzm5YtFzFGWbFtfq6d1Q2I2ZjMbdi8Lv5lOytc+t4P8AACAASURBVPohzKrXEByffgf7h6aR//lrWPcfiWVwKMW/raFo9YLqz49/CtvRj2DdfxSlO5TfjXWvoWBhQd4nz2PIyaLs6G6c3/0Kqw49KYsIB5RGEJvBYyj8dl6DPXeXHr5KwrVSXhvky4QavU5f3ZLArzHZ7I3Po39zZ1afzCA2o5iHO3nw+uDq+7Njl9x5Yu0F3v89mY2PtQFgS3Q2Wr2BpeOD8HSwYmgrFx7+LpZ98bkMaeUCKI0ga09l8NqgplhZNMw+Ohb9HkTl7EH578vRHa1uIFOH9MfqnhexuGMy5es/xKLnWNTeLdCdO0T5xs9ArwVA33k4lsP+g0XPsWj3KXW2pm1/UGsoW/0OFFxDF3MA68c+Rd28M/rYQ8oOHFzRdB6BdvtS0Glv+XHfKlYjJ6F29aLkh0WU76weGWjRdTC2k9/E5r6nKf7yLUBp4DAU5FL209IbbtOi2x2g0VD8xSsYcrMoPxGO/asLsWjbHe3JfYDyot6y/12UrlvYYOsFm7seRe3mRfHahZT+vr5quWX3O7B/8i1sx0+lcMGbtT5nN/ElVDamn3useiixLZjzshLbiHAc31iEZbselJ/YCyixtR5wN8Vr5jfY2Gq634vazRftrmXoKkZR6ACLEc+jCe6HPrAz+oTj4OiOptcD6FPPUb72bai4/zX0egCLnuNRtx+C/pTSqUET3A/UGsp/eA8Ks9GfP4jVQx+jDuyE/sJhZcf2Lmg6DEO7e3mDrReWHr5K/LUSXh/clAldqq9nr2yKN7qebYjM5NilAiZ28WRGjevZ5+EpLDt8lR8jM3moYlThluhraPUGlt3fAk9HK+5s5cJD38ayNz6XoZXXs/wy1pxM57XBDfd6BrDk9yTi04p4Y2wLHulfHbeXV57llxNphEdnMSDEndRrJXy04QLNvez45tlOuDgoDW3je3nz0NzjzN4cx4ppnQDYHHEVrU5P2NSOeDpbc2eoJw9+fpy90VkM7aj8DtJzS/l+fwqvj23RoONr7etNu+XzcWwfYnK97+MTcGwbzKVlq4h7e1bV8kY9u9Jh3de0/Phdjg2+GwCvsaNQW1pw6v7HKUtLJ2PzVjr/sha3wf3J+EVp4LTy8sTn0Qe58PYsDGUNs74VQpgvs6vtMzIyGDduHGvXrqV58+Y88sgjtGvXji1btnDfffeRmJhYVfarr75ixowZ6PV6JkyYQOvWrVmxYgWPP/44ZWVlde7jgw8+ICoqqs71NX311Vfs3LnzLx3LwoULef3111GpVEyYMIGWLVsSFhbGE088QXl53ReM9957j7Nnz/6lff5bLF68mISEhDobH7Zs2cKIESM4cOAAvXv3/lPbjo+PZ+7cuQQEBDBt2rQ//oD4Wz036H6i3vqODj5B7Dx3zGSZp/qOwVJjwaytK6saNwBmbV1JbnEBT/S+q2rZg12G4ubgzOc711Q1bgB8fWgL564m8mjPkahVSlUZ6Kb0pj99WZluKTU3g4z8HALdm1R9bvqAcdhYWvHZju/+voO+jay79kefe43iX4176ZTu34726mWsOnQHlQrr7gMw6PUUrl1iVK485iTlZ09i4R+E2sUDALVnE/R5OeizMwHQJl6oWO5d9Tm7sY+iy86kZHfDnSYFwCKkF4aCHLT7jafU0J3cjT4zFU3LTlDHnJ/q5u2x7DUa3cXT6GqMwlC5eEFhLoa8awDoUy8qy10bV+930INK40dEw+yRCWDVpR/6vGxKtq0zWl528Hd0aZexbNcNVCo0Xr7o87Ip3mI8zP7/2bvv8Ciq9YHj39nZkp5ACC0htBB6k64gTUDBjiCigoqKDRsKKNaLXjs/lQ4qYkEUQUQsKNKl915CIIWEJKT3LTO/PyYkhN1guQbY8H6ex+deZs/MzhyWObtzzvu+xRtXAGCJKvvRqIbVRc/JQs9KB8AZ7+Gze9M9aFmnKV5bNVN5ACTl2KkdaGFY+7By269rZjy42Z2UD8CKI1kowJjudcu161QvkE71Ajl6uoiUXOP72MnsYqr5mqlZ8lCjWU0jlUdidtn3tVkbTxEWYOXm1qGVcl2XAjW6K3p+Fq4tP5Tbru1fg5aRjKlRe0DB1KIHuq7hWD67dHIDwLX9Z7T0k6gdB0HJ2KWE1ISCHMgz7gl6yvGS7WVp78zdh6DnZuDa/c++03oLc7vuaLmZOFaWTx3n3Po7WupJ1OYdS++5at2GuJKO/+kxTaG10XOz0bON+4KWEAOAElr23cB63V3oWek4NlbNiDkAyxXd0XIyKV5RPqWkY/MKXKknMbfs5DaeWa+6Fkurzjj2bvJ4TFONOuX61hUfU7r9DJ/r70bLTsf+xy8ej1EVKEFh6DlpuHaVv0btcMmihbrRAKht+qOoZlybF5VObgC4Ni9CL85HbX1N2TGDa0FhDuQbqVj11ONl20uYuw6BvAy0fSsr58IuASezi43x7IpzxrPmRnT2rpNGpGF8pjFG3d+1drl2A5uXjHsn80u3JWbbqeZnpmZgyXhWko7xZFZxaZuZJePZLVU1GrHEyYwi6oTYuKN7+SiKgSWTQbtOZAOwaFMSRQ6N5wdHl05uALRtEMyovvVpFl4WnZCYXkT1ACs1g43IgubhRrR9YkZZCrYZy09QM9jGrV3K7hVVTcQDI+i8cin+LZqSuW6jxzZhA/uhaxrH3/qg3PasjVvJ2rCFgBZNsdY2/i58IyOwp2dgT0kFIG//QQB86kWU7tfgyYcoPpXKqQV/f2GvEN5MNSlV4r+qzusiOKZMmUJycjITJkzg3nvvLd2+dOlSnn32Wd58801mzpxJUlISH374Ie3bt+fzzz/HYrEA8MEHHzB9+nS++eYb7rrrrnLHLioq4sUXX2Tp0j9PKeFyuXjnnXeYO3fuP7qOhIQEpk2bRocOHfjss88wm42/ismTJzNr1iy+/fZb7rjjjnL7FBYW8sILL7BsWRUNv/6XHDp0iNmzZzN69GhycnLYsGGDW5uvv/4aHx8fZs6ciZ+f33mjOM717rvv4nA4eP7557FarX++g/hXPdlnGHEZyYye/xbRNSPp26yTW5urm7QDYM3RneW2FzvtbIzdy7UtuxHk409OUX5p21VHtrsdZ/WRHTx09a20qtuIPSdjyCzIBSDA5kux0176/7MLjR81gT5+jOt/F++t+IqskrZeTTGR/908Y9XeWSHkpRx2FIsVzBYKf1uCKbgaemGBWzO9pK8UH+OBpZ6fi2LzKXsbXyOiTi8wfkSawmrj2/dGcma8Xu4HepWjmHCsXGBco6f+dTpQzFZQzR5XpVqvfxBdc2Ffck6kYWEeWMv6F5vxw1ovMj6nSrVamDtfi33h/4FWPl1ClaGYKFz6OXoFn13d4Sj97BYsmE7BAvdoTbVOfQC07LI6PFp+LoqtLIe24lvSt2c+uzVqY+t1PXlz3qjSn923r2/ocfvxdOPhQqi/8Z1mSNsa9G3iJMCmurW1mI0v2QUlKTuCfFQKHRq6rqMoCnnFRv8Flux7MruYRXvSmXRtZLmc6FWKYsK5YWHJZ8fDPcHlQDFbQDUbkxPZaaWTFmfTU+MwNb8SpUY99LQ4KMoHi/s9geKSe0JwTdR2/XAsm+KWy79KUUzYf5lf4ZimOx2YLMY9VwkIRgkIRjsZ6+FA5+xX4HlMo+S7gVK9FparBlL0+TtV+p5b9OOXf/59QbXAme8EwdXxGfoo9j9+wZUQg6V1V7fd3Pu25J5bWHLPDa2NtccgCj59u0rfc50/ve9xu1LdeGisFxgPiU0RRkSclnDOQjiXAz3pCKaG7cHqB/YC9KK88vcFa0nfltwXCArD1LovzuXTqvR94Z0bG3ncfrzkYXkNf+MZwjO9I3imd4R7u3PGPYDgCsazgLPHs92neW1g/ao7npV4d6TnyILYVOP3Qo2SSaB1B9MJ9jPTtUk1t7ZP39C43J+D/cwU2F1l/VtU0r8+Jf2bXsiiTUm8dkdztxofVUnEAyMpSkzi8LiX8WvUgGo9urm1Sfr8ayw/r8CVl+/2ml6y4FctyWziyM5BPSuLiBpgTBw5c43ftD4R4dQZfhuHnp6Ifp4sGUIIcbF43R1/xYoVVK9enZEjR5bbfuONNxIZGcn69evRNI2vv/4ap9PJ6NGjSyc3AB566CECAgJYuHBhuf03bNjAoEGDWLp0Kd27dz/vOezdu5ebb76ZuXPn/mnbiixYsACXy8VDDz1UOrkB8PDDD+Pn5+d2fuvWrWPQoEEsW7bsH7/n5cDlcvH8889Tv359Ro8eXWG7Rx55hJ9//pnevXv/rePv2LGD33//nY4dO9KzZ8//9XTFPzD6yzdp9/oIt8LeZ2tcI5xT2enkFbs/bD+RbhS5jK4VWdoWIPa0ex2Wc9tuPmH8YBw/4G78bb6M6T2UAB8//ji2G4Cn+w5H13XeX7nA7VheSdco/PkbCn91X6Wj1q2PGl4f56lEcNgpWvUDBUvca44ogcFYmrVDKyrAlWb0p+Pofky+/vheNwTF5ovfjXeiaxqOI/sA8B9yP67kBIrXV93oAgB0Decf3+Pc6D5prYRFoNSMQDud5HFyQ23XC1N4FK6dq0pTU52hxR9CsflhvuomsPpg6TUEXdPQ4oyVWJZ+d6GfTsK1a1XlXNelQNco+nUhxb+7F5s11YlErRuJK8X47J5L8Q/E2q0f/vc8jZafS9HvZZ9/57H9KL5++PS/DWy++A4cjq5pOGOMz67vrffhOpWIfeNvlXdtlxhd10nPd7BgZxrTNiRTJ8jK9S2Mla+D29TggXNWu4JRWHVHYh6+FhPhQcbDjbZ1/ClwaHy5I40Cu4u5W1NQgLZ1jR/e0/9Ipn41G4NaVHc7XpWha7i2LsO13X2VvxIajhIajpaRbKSVcznAbPFwEEonMJRgY0WydvIwis0XteP1RmHyrreg6xraycMAmHsMQ89IRtu3tnKu61KhazhWLcax1n0hk6lWPUy166GlngSnA1N4yQM11YzP6P/g//YiAv5vGb5j3sJUv3x6TNfxgyg+flh63wI2H6z9bkfXNFzHje8MtutHoqWexLm1CkfH6Br23xdhX+1eM8tUOxJTnUhcqSdLJzcAfO98ClwOCr+ZVuFhnbEHUHz8sPa9FWy+2AYMM+65xw4ARlosLSURx+YV//41Xcp8gzG1vRa12+3oOWloB86kSKyNnp/pVkwcQM8xVmUr1YyIOj35CIrVF7X9QLD4oHa6CV3X0JOMel7mbrejZyajHVx3gS7q4jsznn21I5Vp65OM8ayl5zEnq9DJsgMZTPotniCbyrD2Zemt2tT1p8Cu8eX2NPLtLuZuMcazdiWRBtPWXwbjmQe6rpOea2f+ukSm/nycOtVs3NCxNrquc+xUAQ1r+nE6186ELw5w5fPruOLZ1dw/YxcHE8svGmvbIJiCYhdfrE0kv9jJJyvjURRo1yAYgKm/HCcyzI/rO9TydBpVxpFxL7P1mpvJ2bazwjbJXy0ifspst+2W6iEEd+mIMz+fooREAHK278Yc4E/4qLtR/fyIfGQUuqaRs20XAA2eeYzC43GkLJbFtkKIS5NXRXC4XC5Gjx6N2WzGZHKfm7FarTgcDhwOB1u3GqlrOnUqv7rbZrPRrl071q9fT25uLoGBRrjj0qVLyc/P5/XXX6dr16707du3wvNYsWIFiYmJjBs3rjRF1t+1bds2TCaT2/n5+vrStm1bNm3aRH5+fmmtkO+//57CwkLefPNNrrjiCvr37/+33/Ny8PHHH3Pw4EHmz59/3uiKbt3cVzj8FZ988gkAo0aN+kf7i//drwc3/2mbUP9gjqd7Lhx/JtriTPHw0IBgihzFFDmK3dsWlW+792QMU1cv5Nl+d/FsPyMC7OttK/h5/0aq+wfxVN9hTPrpE/KLCwFQFKVc8bwqQ1EIvG8sikmlaIXn2hBnBNz1GCY/fwqWLyp9UG/fvp7i7esJvPdpAu99GoD877/AlRCLWrc+Pj0GkPP+S2WrQBXF84rQqkpRsJbU1nBs9pzmyHL1YAAcaxa5veY6uBnXgU1Yb3oY600PG+1WL0RPiUMJi0Bt3wf7/Dcuz/5VFPxHPG18dj0UALf1HETA/c8BoBcVkPP2WLTUsnuJY+cf2Hf+gf/dT+J/95MAFP74Ja7E45jqRGK7sj950165rPp26h/JzNp4CoBQPzOzh0QR7HP+r5fvrUkk365xe7sapbmxe0WF0LNxEG+uTOTNlcaP7Xs71aRJmC+x6UUsO5DBOzc0xFSS4kbT9dL/X/UpmAeMRjGpOEsKgGvJMagN2qCEN0UvmagAwC8YU7iRrgab8R1SO7oV19EtWAY8gGWAUczZuXExelo8Smg4pta9jDoepVEjCh4jSKoqRcE27HEUk4q9pAC4WlJg3Hr1jTj3b8Gx4RdMNSMwt7kSv7FtKZzxAq6D2wBw7d2Ic89GfIaOwWfoGADsvy5ASzqBqVY9zJ37UfTxpMvqvlBKUfAd/oTRt2vL0q5ZOvXGekUP8me9ip5fccSrc/dGHLs34HfH4/jd8TgARb98hZZ0HFPtSCxd+1Ew+z+XVd+qV96BudsQAPT8TKOGxpmoC59A9JwUj/vpZxb9lEyAarHbcB3birnP/Zj73A+Ac+t36OnxKNXDMbXoiXPZZC6n+8KUdUll45m/mTlDm3gczxbtPs1LvxiLS3wtJmYPbUJktbJCzL2jQujZOJg3fk/gjd8TALi3c62y8Wx/Ou/c2OiyG88+/Ok4M389ARiRGx8/3I5gPws5BQ4K7C6KnRpD39uGr03l+g61SMux89ueNO76YAfzxrSnVWQQAL1b1aBXy1D+u/go/11spAq9r08k0XUDiE3J54dtKbw3siWmkugYTdNL/39VkrF6/T/et/GL4zAHBnDy0/mltTTSf1vF6V9XEf3aRKJfM+olxU/7iPzDR/GLakitwTdw4KGxl9X9VgjhXbxqgkNVVbfIjTOOHTtGbGwskZGR2Gw24uPjqVGjBgEloXVnCw83VmwfP36cNm3aAHDbbbfxwgsvEBAQQGJi4nnP45prrmHEiBGEhobidP6zgmvx8fGEhYXh6+vr9lp4eDi6rhMXF0eLFkao8bBhw3jllVcICAggLi7ObR9h/H1OnTqV4cOH0759+3/9+ElJSaxcuZJGjRr97cgPcWFZVDPFFRSaPJNaysds/fO2jvJtAcZ8/R7f7VpDu4hoDpw6zi/7jZyn4/uPIL+4kGlrFhEWWI15I1+iX7NOZBTkMOmnuUxdvdDje3ijwAfHY23TCUfMAQp+/LrCdn633oNv7+txpSaTv2BWudey33oWa4fuqHXq4Yw5gOOQEQXjf/sDOOOOUbx5FWqtCILGvIQ5qiVaRip5n02heFPVzQN9hvXWx1GbtMeVcMRjcXFTg5aYIprgOrwd/ZTn/PDFn76C2qIrSo26aPGH0Uqijyz9R6CfOo5r73qU0DpYh43DVK8pevZpHMvm4NpbtVdq+t/7LNZWHXHGHqTol2/cXtfycij8aQGmkOpYO/YkaNx75H74Ao69W0rb5E4ej6X9Vai16+E8dgDnkT0A+A2+H1fCMexbV2OqGU7AQy9ibtwCLSONgq+mYt9SNSNm6gRZuadTTRKyilkVk83Ir44w87YoWtTyXDR41sZkluzLoG6Qlcd7lK/NMfWWxqw+lk1cZjGt6/jTIaJktesfSUSH+dIvOoT4zCKe+zGOPcn51Aq08GzvCAY0dU9pUZWYBz6C2rAtWtLR0tocrs1LUBu0wXrLszh+no4WfwCleh0sA0aX1Tk463mO45vXcTXpjFK9DlrSUfQEYwW8+erh6Kkn0A5tQKlWG8uNT6GER0NOOo4Vn6Adck/zWdXYhj+NuVkHXCcOYT9Tm8OkoKWfovj7j8tFXqhN2uD7xHv4jBhH/ot3lk7cF86YiNrmSkxh4Whxh3DFGFGm1hvuRTsZi3PnWpSwuvje8xymBs3Rs9IoXjQT5441F/x6LyTfu8diadEB5/FDFP9m1OZQ/IPwveNxHLs34Nj65/fF/CnPY257JWqtCJzHD+I6avStz0334ko8hmP7Gkw1w/Eb9Txqw+bomWkUfjMdx/aq2bd6bhrOrUtQQmpjatwJy7DXcSyahJ4aC6oKFf02dRmfVcVsKZ2mcC55A61xJ5SQOminjqKfNCI91SuHoafFoR3dCCG1sVz3BEqdJpCbjnPNp2hHPOf793Z1g23c27kWCVnFrDyaxYj5h5k1pAktapcfz0J8zYzsVJPT+U5+O5zJg98c5f2bG9G9UXBpm2mDG7MqJpv4zGJa1/GjQz1jUeXUdUlE1/Slf9MQ4jKLeG7ZCfYkGePZuD71GNCs6o5ndav7cF+fSOJPF7Jybxp3fbiD2Q+1K01TdTAxj67R1ZjxQBt8rEa6qZV703j0o7289PUhFj/bufRY0x9ow6p9p4lLK6R1/SA6Ng4BYMpPx4mu60//tmHEpRUw/osD7InLoXawjXE3N+HasyJtLlf1n3yIOsNupTDhJLFvlk9/t3fkw4T2741fwwbk7NpD9mYjhXPDZx8n/+Bh0n5cjm+DSJpPeZugK9pQnHyKmFfeIm3Z8otwJUJcOOplMAldFXjVBEdFNE1j0qRJaJrG0KFDAcjKyiIiwj1PJlAatZGXl1e6rWPHjn/5/f5JxMa5srOzadTIc87PM+eXm1u2ounvnN/lSNd1Jk6cSGhoKE8//XSlvMfSpUtxuVzcdtttKHKDu6QVOoqxqp5Td9hKJivy7UaURaG9GGuQ51uhzVK+7RkrD29j5eFtpX+uFVSdx3rdxrOLp1DkKObTES/Ssk5DBs9+jjbhUUy5fSz7ko6x+siO//naLiqTSuDoCcakxalEst8Zb+Tb9sB/6AP433YfWk4WWW+O9bhC0769/Mojc/0m2Lr0JvutZwEIGvMyis2H7DfHYr3iKoIef5WMuKO4khP+/Wu7FJhMWAc/iblTf7T0JOzzXvHYv+YORoShc8v5i9W6DpQv2qrUaYTaujvFn74CgHXYOBSrD8VzX0Jt1hnr8PEUvReLfvrkv3I5lxSTiv+ocfhcPQhXykly/m+Cx751bF+HY7sxyaPWjyb4pRkEPPQimU8PgeKylB+OnX9w9rSoGhmFtVMvciePByDg4ZdQrDZy3xuHtV03Ah5+maz4GLRTVe+ze9tZBVLXHMvmscXHeP6nE3x3T3O3sXLq+iRmbjxFiK/K9MGN3VbGKopC76iQctsOpRTw6+Espt7aGEVRmPDjCQodGtMHN2ZtbA7jlx2naZgvDar7UOUoJsyDHsPcti9aZjL2hf8tLSiuxWzHsWIu5t53Yx32cukurthdaJuWYL76DjgnMlE7uqX84Ws1xNT8ShzfvAaA5aanwWzD8fUkTFEdsdw8FvvsE+gZniMivZ7JhM+dz2C58lq0tCQKZ75Yel+w/zLfqNdxDtfRPTi3rsDSdQBqk7alURwArj0bODsruSmiMeb2V1M4w1gJ63vv82CxUTj9ecytuuJz30TyE4+hp55/YZVXMqn4jnwG21XX4Uo9Sf7UiaV963vHGBSLlYIv/u8vH865ewNn37HVelFYOvQkf8rzAPiNmohis5H/4QQsbbrh98CL5CYeQ0upen2r7S1Lx2Vq2AHzLc9hvu5xHPOeNFKAqRX8vC/5Xqyfe184trXcn5WwBpiiu+H87g0ALNc9CRYrzsWvY2rUAfPAp3CknUDPTP4Xr+rScFvb8uPZo9/G8NyPx1lyX4ty41nf6BD6Rhtj1YFOtbjzi0M89+MJlo9uhV/Jg3lFUejTpPx4djClgF8PZzLttihjPPvhBEVOjRm3RbEmNptxP8TStGbLqjmeAUO6lS1qWL3/NI/M2cOELw7w8SPtSrePvzmqdHIDoE/rMDpHhbAlJosTqQU0qFmSglFR6NO6fGH4g4m5LN+dyvQH2qAoCuM+P0CR3cXMB9uy5sBpnv1sP03DA2hY0/MCjMtBw2fH0ODpR7FnZLLnrtE4s3Pc2qT/uor0s/4c0LIZYdcPYO8IIyq8+dS3UX192XP3aEL79qLF9HfZcuAwhbEnLsxFCCFEBbyuBse5dF3npZdeYuPGjbRq1ao0wsPpdFaYoujM9uJi95Q0F4Ku67hcrkv2/LzRl19+yfbt23nllVdK03r921auNFaODxgwoFKOL/49mQW5BPt6/hyc2X4mVVVmQS6+Vh+sHnKZB/uUb1uRF667l9TcTOas/54Qv0AGt+/FO799ydI963jt57nsiD/Moz1v+18u6eKz2gge9xa+va/HmRRP5quPoWWedm+nmAgc/ZwxuZGVQdakMbgSPUcZnMt/2GicMfux79yAGtkYS3Qr8hbMwr5rE3mfvo+en4PvNTf/yxd2ibDYsI18xZjcSEukeNZ49Bz34sEApuZd0O1FuA5t9fh6RazXjkRLOIx2aAtK7Yao9Zvj+OVTtMPbcPwwEwrzMHe57t+4mkuL1UbgU28YkxvJCeS88Th6Vvqf7uaKO0LxH8sxBVXDEtXqvG39bnsA57EDOHZvRK3XGEtUSwq+nYNjzybyv/gQvSAXn943/ltXdMnq2TiYLvUDiTldREJW2XcYl6bz0i9xzNx4iup+Zj4a2oSoGu4RrJ58uD6JNnX86dk4mMOpBexJLuCJHnXp0SiY8X0iCPIxs3C3h3uRtzNbsQydaExupJ/E/sULbgXFXZuXYJ/5CI7ls3D8/in2zyfi+Orl0sLBen7W+d+i553oJ4+gxWxHqVkfU3hTnGu+QDu2A+evH0FRHmr7KpoS1WLD96HXjMmNlAQK/u9p9Ow/vy8AuOKNlCimGnXO2852431oJw7i2rcZU3gj1IYtKF76Ca79WyheOBW9IBdr9+v/50u55Fht+D/2mjG5cSqBvHefKu1bc5tuWLv2o3DRbPTMtH/8Fj43j8J1/CDOvZswRTTC3LgFhd99hHPfFgoXlPTt1Tf8W1d0ydKOmZ6IgwAAIABJREFUb0eP34upRiSE1IaifBSb54e3pds91Kc7m3rVcPTko2jHt6PUqI+pbjSu9fPRTuzEueoTKM7H1KaK3hfO0rNxMF1LxrP4rIp/k7eo7ccNLUPJKHCyO+n8vxemrEuiTd2zx7N8Hr+6Lj0aBzOhbz1jPNtVBcczD3q1rEHXJtWIOZVPZp6xZMSiKjSp4559o1m4sfgzIb3Q7bWzffBjLG3qB9GrZQ0On8xjT1wOT17fmKtbhPLcLU0I8jOzcEMVXMTzV5hMNH13kjG5kXaaXUPuoeBIzF/ateH4J8nZsYf039fg3zya4A7tiH3zfTJWriPmpf/izM6h7l1DK/kChBDiz3l1BIfT6eTFF19k8eLF1KtXj+nTp5dODvj4+OBweE47Y7cbaWc8pYe6EBRFwWKx/On5+fldvqsL/q7ly42wyAcffNDj6yNGjADg999/rzCy53wyMjLYs2cPLVu2/Ef7iwvrSGo8PZu0x8dic6ut0bBGXVyai6OpCaVtu0e1pUFoHY6kxLu1BTicUnFauMjqtXngqpt4ZME7OFxOGtWoi1k1lx7/zHs0LSlU7o0U/0BCnpuMJboVjtjDZP33KfScTPeGZgvBT7+OrWMPXKlJZL32BK5Tf231pLlJK2wdriLzP0b+cnOdegBl0RqaC1dKEmqt8H/lmi4pvgHY7puEWr852skYij6aCPnZHpsq4VGYgkJx7l3vtjr7fEyRzVGbd6Fo9gTjzyWfbe1MtIamoaUno4Se/4Gdt1H8Agl89l0sUS1xnjhMzjtj0XPKP/Q1N22L4h+IY4d7LmMt3chlrgQGu71Wun9US6ztryL7jScAUGsZY4Tr1Fmf3dQk1JpV47Pr1HS2xueiA1c2CHJ7vW5J0fDMQheR1cDu1Hh66XFWH8smPNjK7CFR1K/211an7jqZx9rYHD4aGgVAfKbxmY8s2d9sUogItpabTKkSfPyxDnsZU3hTtFPHsH/1KhR4vifoWSm4tpWv1aPUiTKKBZ+u+P6rhDdFbdIJ+5cvGn8+U3j4TLSGrqFnpaBUq1r3BAD8AvB77E3Uhi1wxR+lcOp49Nzy9wVTvSYoNl9cMXvcdlcsRq593WF3e610/4YtMLfuRsH7Y40/l/z7L43W0DT008koYXUrOoRXUvwC8H/ibcyNW+CMO0L+++PK9a21Q08A/O56Cr+7nnLb3+++CfjdN4G8d57EeXiXx/dQG7XA0rYbee8aEdtqTeOeq6WcGc9caGnJmKpK3yomlHqtQFHQ43a7vaznGBNFim8QemYSSkQLMFvLFXQHUIJromsu9MyKI7KUOtGojTtiX2hEhZ35969nlURrnLkvBNf+N67soisdz3S4sqGH8SzYGM+yCpyk5eWSU+Ryi8o4u11mQcWpq3edzGPNsWw+vr0JAHEl41n9cuOZrUqNZ06XxpaYLHQdrmrmXlC9bkmkSqHDRc1gK6dz7Gi6jkr56E+npgHgY6l4be7O49msOZDOJyXRIHFpxkRe/TDjeY9ZNRER6kv86fNPklRFitVCq9kfUGNAHwrjE9k9bBSFx/9ayvOgDu2o0a8Xu4bcA4BfowYAFB4/AYDuclEYl4Bvg3qVcOZCCPH3eO0ER2FhIU888QRr1qyhQYMGzJ07l1q1apW+HhQUVC7F09nObD+TCqqyzJ07t1waLICuXbvSqVMngoOD//T8PNUPEZ7dcsstdO7c2W37unXr2L17N7fccgvh4eEEBbl/ef0r9uzZg67rkirMS6yP2U2fph3pEdWW3w6WpeSwma10bdiK/UnHyStZwbY+Zjf3XXkDPZu0d5vg6BV9BVkFuRw8daLC93p50CjiMk4xb5PxgMlsMpf8b1l4tY/Z6r012CxWgse/iyW6Ffb9O8h++1n0Qs+r/4KeeBVbxx4444+R9fqTniM8KhBwx2js+7bh2FeS7uNM/6ll/YjVWvWKtpst2O59FbV+c1zH9hjpo86zulKNbA6AFrv3b72N5dqRuGJ2ocWUPDA6069nfU4Vixd/Tj2xWAkc+xaWqJY4Du4kd/J49CL3vg24fwKmGnXIfOwGt1RqaqTxYN2VUvGKP78hD+I4sB3nge0lO5Wkp1DL961WhTr3se+O4W9VWfVwa9RzCnceTitEAcKDjX+v45adYPWxbKJq+DB7SBQ1AzxHr3ry4fokOkcG0LW+MXY7S/rQpZX1ZbFTp0pljVQtWIe+aExuxO3F/s3rYHd/IGPuMxK1XX+KZz4MBWelmPAPxlSvGXpyDBTlue1Xun+vu3Cd2IN2ouQBvsn9noDZUvUKiJot+D3yX9SGLXAe2UXhjBfAw33B96H/oITUIH/cYPT88ik81JKILi3+sNt+Z9huGoXz8E5ch3caGzyNaWZr1epfsxX/x98wJjcO7yJvyvNufevYuR4t/ZTbrmqjFlhadcaxcz2uhBi00+5tzvC55X4cB3fgPFSS9rOC8awqFcS23PwcOIqwzxwFulbuNSWsgTGhmZ2CdvIg5sjWKOHNy0+GqBaUOtHo6QngKKIi5u53osXvRY8v+Y5xpk+Vc+4LVahvH10Ug79VZfWjbdzGs0OpJeNZiI27vzxMUnYxax5rS4hv+Ucoh1ONz3m9swqNn+uDtUl0jgyka8nCgDPjWLnxzKVVrfEMeGTOHvxtKmsndXf/vnAyD0WBiOq+dGgUws87U9kak8WVTctPhuxPyMVsUoiqXXGWhg9+PEaXJiF0K9nXWdKvTldZ/9qd2mWZZrrF9PeoMaAPeYeOsHvY/dhTUv/yvo0mPEnm+k1krjfS3iql33HL/g2YbLaqNZYJ4YHq9bmPLg9e+deUnZ3NyJEjWbNmDS1atGD+/PnUrVt+lU6DBg1IT0+nqMj9S9zJkycxmUzUr1+/Us9z7ty5TJ06tdx/W7duLT2/1NTU0miNsyUmJqKqKpGR3rvi+0K79dZbGTNmjNt/bdu2BYwJkDFjxvzjCY4DB4xinP9G/RVR+b7cuhyny8krg+4vl3rq+WtHEuwbwOyzCjcv2b2WnMJ8xvW7i2p+ZZ+Pe7tdT9Na9fnoj6UVPlRvUrMeI7pcxys/foRLMzJvH01NwKW56NrIeACimlQ61m/OkdR4j8e41AXc8RDWZm1wHN5L1n+frnByw/e6Ifh06Y0zOYHMVx/9W5MbllYdsbbqSN6C2aXbXElGf1matASMKBJznUhcyd7ZjxWxXHsvaoOWuE4coPjjF/40dYQpvDEAWuKRv/wepqh2qFHtcCyfV7pNK1lFbKpvTJjgG4BSI/y8K769jd+QB7FEt8FxdK8RueHhISZA8eZVKGYzfkNGl9tuadsNa8eeOONjcB0/5HFfc4sOWFp0oODbOaXbznxGzY1LPrt+gai161WZ+htmk8I1TULIKHAyd2tKudcW7Exj/6kCrm4cRA1/C1/uSGPF0SwiQ2zMvT36b01ubIrLYUt8HmO6l32/a1iy0nV3spEGJLvISVxmEQ3+YkSINzD3vhtTveZoiYewL/iPx8kNAC0tHsU3ALX9WWkzTWYs1z+OolpwblhU4XuYGrRBbdAG5+ovS7fpGcYknim8qbHBxx+leniVq79hu+l+1MatcB3bT+HUCR4nNwCcO9agmFSsN91fbrv5ip6YW3fDeWQ3WtIJj/uqTdtjbtqe4qWflG7TUox//2rDFsYGvwBMtSJK78VVgc+t92OOao0zZh9574/z2LeOXespWvqp23/OfcZiFMdO43VPkyAA5mZXYGl+BUVLPi7ddubeam5s9K1ypm+rSv0NXUOL2YziF4za6aZyL5naDsBUOwotdjsUZKMdXIuuuTBfeXu5Whxql8EoNn9ce36r8G2UyNaYIlvj/KOs9syZ+4JSN9rYYPNHqVb3vFEg3sRsUrgmuhoZBU4+2VLReBZMDX8L1zarhlODD9aWX/Cw5lg2vx3OIjrMl1a1PWdf2HQihy3xuTzeo2w8O1Nn40xaq+wiJ3EZRdQ/zySJtzGrJvq1CSMjz8Env5ePGPhqfSL7EnLp2SKUGkFWhl5p9M27S2PILyqLhPlpRwq7T+TQq1UNqlXwHWLj4Qw2H83iiUGNS7edqbOxO86YoM4ucBg1PMIuTgaPiyV81N3UHNSfgtgT7Bo84m9NblTr3pVq3bsS+9YHpdsKjhlph4M6GM9YzMFB+DVuQMGxE//qeQshxD/hdREcxcXFjB49mt27d9O5c2dmzJjhMdKhQ4cObN68mW3bttG9e/dy++/atYuoqKhKj5BYu3Ztha916NCBbdu2sX37drp161a6vbCwkD179tC0aVNJUXUJSUgwfjxV9qSY+HccSYnn3RXzmTBgBDuf/4wf9qynZd2GXN+6O+tjdjPnj+9L22YW5DDuu6nMHD6eXRM/45vtvxMeEsbQDn05nBLHf3+ZV+H7/OeGBzmUEseCbb+VO96S3WsZ1+8uQv2DaVG7ARHVajJl1cJKvebKYAquju+AwQA4T57A/+a7PLYrWLYA/8H3Gu3iY/C71nO9kcJfv0PLdq8rETBsNMU7NuA8UhaV4Iw7iuPYQQJGPIE5sjGW5u3BZKLwtyVu+3utgGqYrzTyr+upCVh6e85f61j1NTiNlIZnUkhpp//6wwXLgJG4Dm1BiztYuk1PjsWVeATr9Q/grN0AtWErMJlwbvrpPEfyHkpwdXyuuRUAV1Icvtd7/uwWLvuCwmWfY21/JT59b0aNbIzzyF7U2hFY2ndHz88hb8arFb6P35AHse/eiPPovtJtrvgYnLGH8LtzjFGPo2lbMJkoWvV9hcfxNk/3DGdbYh7vr01iS3wu0WG+HEopZFN8LhHBVl7uH4ndqTFro/GQMjrMl/k7Pf+ovr1tGDUC3GsgfbguiR4Ng2gfXvZdrVktP1rU8uOdVYkcTStke2IeLh2GnFUY1qv5h6B2GAiAdjoBc7dbPTZzbliEtm8NWoeBmHsOx1S7EXrmKUyN2mOq1RDnrt/QDm+q8G3Mve7CFbMN/WTZxJ2echwtOQbzNfehhNXHFNkSFBOuHb/8u9d4ESlB1bD0NB4Qu07FYe1/h8d29uXzKf7pc9SWnbH2uB41ohGumH2YatVDbdUFLes0RZ+/XeH72G4ahXPfZrTY/aXbtMRjuOIOYxv8MKa6DVGbtAHFhGPdD//uRV4kSlB1bL2NGlmu5Dh8rhvusV3RT/PdUif9HT633I9j7yZcx8r61pUQg/PEYXyHPoIa3hA12rjn2tcs/cfvc6lxrv0MU0QLzD3uxlSvFVpaHKaaDTHVb4uedQrnbzMB0DOTcG37HnPnW7Hc/R7asW0oofVQG3dEO3kQbW/FExzmq+7EFbsdPaksMklPO4F2KgZzz3tw1YjEFNHCuC/s/rXSr/lCGdsrnO0Juby/5iRb4nJpWtOXgykFbIozxrNXBhgLDu/vUpvVMdl8s+s0R1ILaR8RQFxmEauOZhPsq/L2DQ0rjA74YG0SPRoF0T6ibDxrXsuPlrX9eHtlAkfTCtmWkItLh6Htwjwew1s9c2MU245lMXlZLJtjsmhaN4ADiblsOpJJRKgPr97eDICu0dW5++oIPl+byA1vbqZ/25qkZBXz6+5UagRamXBLVIXv8f6PsfRoHkr7hmXpRJtHBNKyXiBvfXeUo0l5bDuWhUvTuf2qqpEu9K9QrBYaPGUUBs87eITwez1/F076bAH2NPeFaQ0nPEn672vI2bazdFve/kPk7N5H1CsT8G8eTUiXjigmlaTPv66cixBCiL/B6yY4Jk+ezM6dO2nfvj1z5szBx8fzqr0bbriBWbNmMXXqVDp37lxam2PmzJnk5eVx++23X8jT9nh+c+bMYcqUKXTo0KH0/GbMmEFBQQFDh0qhpktJZqZRb+DsNGji0vbckukkZKbwyNWDeaLPUE7lZDB5xVe8+uNH2J3l69/MWvcdmQW5jOt/F4/2HExGQQ7zNv3ExO9nklmQ4/H4bcKjGHpFX26b87xbhMeoz19n1vAJjOw6kPS8bEZ9/jobYt3zeF/qzNGtStI8gG+fiot1Fm9ZiymoGgA+XXpDl94Vtjt3gsPaoTuW6FZkjL/HrX32uxMIHP0cvv1uwZV2iuzJE9HSkv/h1Vx61PrNUMxG/5o7D6iwnWPdd2UTHH5BRt73Cmp0uL1H8y6o9ZtT+MFjbq/Z5/0H621PYe46ED0zFfvnr6Nnpng4ivcxR7Us/ez69Ky4iG/R8m/QC/LInvQwfrfch7VTL3wGDEHPy6Z43U8Ufje3tA7HuSztr8IS1ZKsF0e5vZb7wfP4jxqPT5+b0E6nkDvlxSr12a0VaOXru5ox9Y8k1hwzVqaGBVi5u0NNRnerTYivmUMpBWQWGqswVxzNYsVRz8fqGxXiNsGxOiaLPckFfH13M7f2H9zciJeXx/HN7tPUDbLyfzc2JCKkaqx4NYU3RSmJOjS361dhO+eWH6A4H/tXr2DuORy1SSdo1B49IwnHj1Nx7VpR8Xs06YQpvCnFHz/t9pp94RtYBj2GesW16NmpOBa/hZ7911d7XurUhi1K7wvWqwZW2M6+8lsozKfgnTHYBo3E3K4Hlt63oOdl49jwM/Yf5qLnuE/WA6itu6E2bEH+G6PdXiuc9RI+dz2DpccN6BkpFM55Fb2CSAVvY25U1re2HoMqbFf827fo/3CCw9y2G+bGLcid5F5vL3/aC/iNfBZrzxvR0lPIn/nyedNceZ28DOxfjMN81TBMjTqi1msN+Zk4t/+Aa9PCcunoXOu+QM89jdr2WtQrBkF+Fs5tS3Ft/AZcnmtEmBp1xFQ3Gvvnz7i95lj6Fpb+j6C2GYCek4bzh3cgp+rcF2oFWlkwojlT1yex5lg2W+JzjPGsY00eurJOaToqf5vKF3c2Zfofyfx6OJPPt6US4qtyS+tQHu5et7T+1LlWxWSxJzmfb0Z6GM9uacxLP8fx9a40Yzy7uVGVGc/OqBVi45uxHZny03FW7z/N5iOZhAVbGdGzHg8NaEA1/7Mi7QdH0zwikC/XJbLgj5P421QGdajFE4MaEV7dc+TFqn2n2ROXw7fPuKeRnjKqNS8uOMSCP05St7oPH9zXmojQyyeCw79JY6yhRsqumoP6w6D+Htud/mWF2wRHaL/eBHdox9aShW5n23ffYzR77zXC7x5GUWIS+x54gqKEy7R4uxDikqLoXpTQPC0tjd69e+NwOBg8eDB16ngufPjggw9is9l49913mTNnDo0bN6Z3797ExMSwevVqrrjiCubNm1c6qXCuxMRE+vbtS9++fZk+ffp5z8npdNKyZUtatmzJ4sWL/9b1vPXWW3zyySc0adKEXr16cfjwYdauXUunTp345JNPKjy/uLg4+vfvz4ABA/jwww//1nsKcaEpD3e92KdQZaWkX355ZC+UgAYVF5UW/5vC5IrrAoj/TVBPKfJYmVwp508hJ/45R6LnunTif+dyaH/eSPwjvs3dCyeLf4dahVIPXopMdeV7bmVZc++qi30KVVrvZM9pY4WoTC3nDbnYp/Cv2D/S+7KK/B1eFcGxe/duHA5jFeuiRRXnFh45ciQ2m42xY8dSp04d5s+fz2effUZYWBj33HMPjz32WIWTBxfSuHHjqFOnDl999RXz5s0jLCyM++67j0cfffSSOD8hhBBCCCGEEEIIIYQQ4lLlVREcQgjvIxEclUciOCqPRHBUHongqDwSwVG5JIKj8kgER+WRCI7KIxEclUciOCqXRHBUHongqFwSwSEuBong8A6mi30CQgghhBBCCCGEEEIIIYQQf5dXpagSQgghhBBCCCGEEEIIISqbqkjmDG8gERxCCCGEEEIIIYQQQgghhPA6MsEhhBBCCCGEEEIIIYQQQgivIxMcQgghhBBCCCGEEEIIIYTwOlKDQwghhBBCCCGEEEIIIYQ4i2qSGhzeQCI4hBBCCCGEEEIIIYQQQgjhdWSCQwghhBBCCCGEEEIIIYQQXkcmOIQQQgghhBBCCCGEEEII4XWkBocQQgghhBBCCCGEEEIIcRZVSnB4BYngEEIIIYQQQgghhBBCCCGE15EJDiGEEEIIIYQQQgghhBBCeB2Z4BBCCCGEEEIIIYQQQgghhNeRGhxCCCGEEEIIIYQQQgghxFlUkxTh8AYSwSGEEEIIIYQQQgghhBBCCK8jExxCCCGEEEIIIYQQQgghhPA6MsEhhBBCCCGEEEIIIYQQQgivIzU4hBBCCCGEEEIIIYQQQoizqIrU4PAGEsEhhBBCCCGEEEIIIYQQQgivIxMcQgghhBBCCCGEEEIIIYTwOjLBIYQQQgghhBBCCCGEEEIIryM1OIQQQgghhBBCCCGEEEKIs6gmqcHhDSSCQwghhBBCCCGEEEIIIYQQXkcmOIQQQgghhBBCCCGEEEII4XVkgkMIIYQQQgghhBBCCCGEEF5HanAIIYQQQgghhBBCCCGEEGdRpQSHV5AIDiGEEEIIIYQQQgghhBBCeB2Z4BBCCCGEEEIIIYQQQgghhNeRCQ4hhBBCCCGEEEIIIYQQQngdqcEhhBBeKj+t4GKfQpUlfVt56vSOvNinUGU5YrIu9ilUaa7s4ot9ClWWIsmNK42thv/FPoUqyy733Epja179Yp9ClfbNdSsv9ilUaXVqy5gmRFWimuTftDeQCQ4hhBBCCCGEEEIIIf5HvZMPXexTEEKIy46kqBJCCCGEEEIIIYQQQgghhNeRCQ4hhBBCCCGEEEIIIYQQQngdSVElhBBCCCGEEEIIIYQQQpxFVaQGhzeQCA4hhBBCCCGEEEIIIYQQQngdmeAQQgghhBBCCCGEEEIIIYTXkQkOIYQQQgghhBBCCCGEEEJ4HanBIYQQQgghhBBCCCGEEEKcRWpweAeJ4BBCCCGEEEIIIYQQQgghhNeRCQ4hhBBCCCGEEEIIIYQQQngdmeAQQgghhBBCCCGEEEIIIYTXkRocQgghhBBCCCGEEEIIIcRZVAkN8Ary1ySEEEIIIYQQQgghhBBCCK8jExxCCCGEEEIIIYQQQgghhPA6MsEhhBBCCCGEEEIIIYQQQgivIzU4hBBCCCGEEEIIIYQQQoizqIpysU9B/AUSwSGEEEIIIYQQQgghhBBCCK8jExxCCCGEEEIIIYQQQgghhPA6MsEhhBBCCCGEEEIIIYQQQgivIzU4hBBCCCGEEEIIIYQQQoizqCapweENJIJDCCGEEEIIIYQQQgghhBBeRyY4hBBCCCGEEEIIIYQQQgjhdSRFlRBCCCGEEEIIIYQQQghxFlWRFFXeQCI4hBBCCCGEEEIIIYQQQgjhdWSCQwghhBBCCCGEEEIIIYQQXkcmOIQQQgghhBBCCCGEEEII4XWkBocQQgghhBBCCCGEEEIIcRZVQgO8gvw1CSGEEEIIIYQQQgghhBDC68gEhxBCCCGEEEIIIYQQQgghvI5McAghhBBCCCGEEEIIIYQQwutIDQ5RpWRmZjJt2jRWr15NamoqERER3Hrrrdxzzz2YzWUf98LCQqZNm8ZPP/1EamoqISEh9OnThyeffJLq1au7HXf16tXMmDGDI0eO4OPjQ+/evRk7diyhoaEX8vLEOeoE1+Dgywt4edkcPlj5tdvrd3e5jqf6DiO6ZiSZBbl8s/13Xlo2m/ziQre2A1tdyQvX3Uuruo0odBTzw571PPf9DNJyM8u169qwFTPuGEd0rUj2JR3jyYXvszF2b7k2FtXMkVcXsmjnKp5Z9OG/e9EXmRoaRsSn35H56QxyFn1Z7jXFx5eQux/Ev88A1GqhOFOSyVu+lJyFX6A77OXa+l3Zk+oPj0UNDaP44D7SP/gvjvjj5dqYgkKoN/9HMj+eSs53X1X6tV1s0reVwD8Ec8/hqE06QkAIFOahxe7CufpL9KyUsnZmG+aewzC16IESVB0KcnAd2Ypz5edQmFPukKbozpj7jUIJrIZ28gjOn2ein04s/76+Qdgen4Nz5ee4ti67ABd6EQRUw3LNnajNOqMEhEBhLq6YXTh++xw94xQAPuM/xVSt1nkPU7zwPVzbVwCgNu+CZdADKIHV0RIPY18yHT0tofwOfkH4jpuL49d5ODcsrZRLu9iUoGpYB43E3KorSlA19PxcXIe2U7zsU/TTyaXtLFcNxOeuZzwew3X8AAVvP1b6Z7XNlfgMfgglKBRX3CGKF3yAdiq+/Pv6B+E/6UuKl36CY/V3lXNxlwAl0OhftWUXlMBq6AW5uA7twP7jp+jpZf1r7jYQnzvHejyG6/gBCt8bU/pntXU3bLc8hBIciuvEIYq/+RA9pXz/4h+E/ytfYF/2CY41Syrl2i66gGpYeg/H1LQTir9xz3XF7sL5+xfomafK2llsmHvdgdq6B0pgqHHPPbwFx4rPoOCce26zLliuHYUSUB3t5BEcy2Z4vC/4PPUxjhWf4dr8wwW40AtP7guVJ6vIyYwtqayNyyUt30F4kJWbm1Xj7nY1MJsUj/sUODRunn+Evo2CGN+jrtvrq47n8O4fyaTlO2ldy5eJV9elUXWfcm0yC51c9/lhxnStxZ1talTKtV1qhuuH/7TNil53k7pmCwCN7x9Cq5cexRIUQOrqLWx95BUKk1LLtQ9q1oiB+5ax7uZHOblsVaWctxDi8qYqnscCcWmRCQ5RZeTl5TF8+HBiY2Pp3bs3/fr1Y8eOHbzzzjts27aNGTNmoCgKmqbxwAMPsHXrVlq1asWAAQM4cuQIX3/9NZs3b+bbb78lMDCw9LjLli1j7Nix1KtXjzvuuIPk5GS+++47tm7dyqJFiwgKCrqIV3358rf5snj0mwT7Bnh8fcKAEbxx8yPsTjzKlNULaV23MU9fcwddG7ak1/89gsPlLG07rGM/vho1iWNpicxY+x2R1WtxT7dB9GzSno5v3kt2YR4APhYb341+C7vLwYy1i7muZTeWj3mfJi8PISUno/R4D3a/mVD/IN5c/lnldsIFpvj4UvM/kzEFBLq/ZvOhzv99hK1ZK+zHY8hdtxBLeCQkQ8IzAAAgAElEQVTVH3gC305XkjL+UXR7MWA8yA97+R2cSYnk/vAt/r36U/vtGSSOuKm0DUDI8PvQ8nLJWfbtBbvGi0X6thL4h2C7fzJKcBiuYzvR969DCQ3H1Lon1qgO2D95Bj0jGVCw3vkKpvqt0E4exXVoA0rN+pg7XIupQWvsHz0NxQXGMQOqY7ltPHrGKVzbf0Ft0R3rnf+heNpD4CybaDJ3vw2K8nHt+OXiXHtlC6iGz2PvYwqpievIDly716CERaC27YUa3ZGi6U+hpyfhXL8ExdfffX+zDfPVt4LTgZZwBAAlsDrW4c+jZyTj3PITauursY16jaJ3HyjXt5ZeQ9GL8nBu/vlCXe0FpQRVw2/8dEzVa+E8sA1t+ypMteph7tQXc8vO5L/9GHraSQBM4Y0AKF7+FZwz0alnpZUdMzgU3/tfQktLwrn+B8xX9MJ3zFvkvzKy3H7WAcPRC/NwrK+ik3IYkxu+z04z+vfgWf3bsQ/mlp0pePfs/m0IgP3Xr8p9BgG0zNNlxwwOxee+l9BOJ+FcvwzzFT3xffRNCibdU75/+99h9O8fP1b6dV4UAdWwjZ5s3BdiduDauxZTjQjU1j1Rm3SgeNZY9IwkUBSsd7+K2rA1WuIRnPs3YKpVH3On6zA1bEPxzCfL7rmB1bEOnYCemYxz28+orXpgHfEfij8YXf6e22MIelEerm1yX5D7wt+Tb3cxYnEsxzOL6dUgkGsaBbEjOZ/JG0+xPTmfKQPro5zzYMup6Uz4LYHkPIfHY6bmO3hmeTz1gqwMaVmd5ceyGf3DCX64Mxofc1kCjY93pBFoUxnS0n1xXVW195UpHrfbaoYS/chwClNOk3MoFoBqV7Sky5zXOL1pFwnfLqfhyJu5+rtpLO8ypNy+bSY9QcbWvTK5IYQQlzmvnOBIS0tjypQprFmzhvT0dIKDg+nWrRtPPPEE9erVK9d2yZIlfPrpp5w4cYKgoCCuu+46Hn/8cfz9PfzgLqFpGkOHDqVmzZpMnz79T8/nkUce4dSpUyxevPhvX8vixYuZN28ecXFxBAcHM3DgQMaMGYOfn1+5dna7nY8++ogffviBhIQEbDYbbdu25eGHH6ZTp05/+32rotmzZxMbG8vEiRMZMWJE6faxY8eybNky1qxZQ69evfjtt9/YunUr/fr148MPP8RkMr5oTp48mVmzZjFv3jwee8xY3ZSfn8+kSZOoV68eS5YsISDAeJh+1VVXMXHiRGbMmMH48eMv/MVe5iKr12bx6DfpENnM4+v1qtXiPzc8yIZje+g5+WGcmguAV69/gJcGjeLB7jczbY3xYNff5svU25/hWFoi7f87gtwi40f1rwc288mIF3jhunt5drHxZfz61ldROziULm+NYsuJ/Uxe8RXx/13CnZ2uZfLv8wFjEmTidffw4aqFnM7LquyuuGDMtepQ8z+TsUW38Ph68LB7sDVrRf7a30mdNA6cxgRS4E1DqfHkRILvuJeseTMBCLhmIIpq5tQzo3Glp5G/+lfqTv8C367dKVj7O2A8qA+8aSgZU98Gh+cfkFWF9G3lMPccjhIchuPXj3Bt+r50u6lVT6y3PoO53ygcX7+GqVk3TPVb4Tq4AcfCNwEdAL3P3Zi7D0XtciOutQsAUFv3BJOK/YsXIS8D14E/sI16F1NUR7RDG4w3CKiO2nEgzl9mw1kTqVWJ5Zo7MYXUxL5sNs71ZSt61Xa9sQ0bh2XQA9g/exXnH55XqVtuegTFpFK8bBp6qrFaWG3fG1SV4o+eR8/NwLVnPT6P/h9qs0649v0BGJMg5q6DsP8wC1xV87NrHTQSU/VaFH07HcfvZROQ5k598b1vIj63PUzhjBcA40GmnpeNfcmc8x7T3PkaUFUKP3wWPTsdx441+I+bhrlVF5w71wHGw05Lzxsp/mYaOKtm30JZ/xb/P3v3HR1V0cZx/Ls9jRQSamihBKQjUlWKNClio3elWrADFuzoa0UREBEEQUGaqNgRRBDpSld6gIQSIISQkLL1/WPDhjUJNlrC73MOR7h37t2ZcTPZvTPPPAsn4fjxnP69rhUBA57EdscwMic/DYApuiKeM6exL5p63nuar2sFJhOZE0biSUnCuXE5QY9NwFSjEa5N5/TvjZ3JWlB4+9fSshfG8OI4vp2Cc1XOz76pdgusXUdgaT8I+6wXMF7TBFNMLVy/r8I+52XweMdcc+t+WJp3x9z0VpzLvJGF5totvOPCh6Mh9SSubSsJGDoWY+x1uH/PHnOLFMXcsAOObwrvmKtx4eKZ+utx4pKzePyGUvSukxNFMXLxQb7dncLPB1JpViFnMVtKppMRi+NZHZ+W7z2/3nkKp9vD+7fGUDzYQtvKYfT5dC8/H0ilTaUwwDsJMndbEqNuKI3VdPXsGr71+Ql5Hm++aBIAa/qNIjPRO4Fc6e47yTp5iqUt++HKzCJp7Waun/MWEdfWIPm37QBE1KtO2TvasqzdwEvTABERuWIVuN+mx48fp2vXrsydO5dKlSrRt29fatWqxVdffUWXLl3Yv3+/r+zkyZMZNWoUbrebPn36UK1aNT788EMGDhyI3W7P9zXGjBnD1q1b8z1/rsmTJ7N06dJ/1ZaJEyfyxBNPYDAY6NOnD7GxsUybNo1BgwbhOOehk8vlYsiQIYwbNw6LxUKvXr180Qn9+/dn8eLF/+r1C5tDhw5RqlQpevXq5Xe8Q4cOAGzcuBHA9//29ttv901uAHTr1g2ATZs2+Y59/fXXnDp1igEDBvgmNwC6dOlCTEwMCxcuxOVyXZwGSZ4evKk7W0fPok50ZZbuWJ9nmaE33o7FZObl72b4JjcAXv5uBikZaQy6vrPvWM/r2hIZEsZbS+f4JjcApq/+ih1H9zOgSUeMBu/7JCbSG4K+OWE3AIdTjnM89RQxUaV81w1v0ZUAi5U3lvhvMVSQhd7Zm+gPFmCtFEvGb2vzLBN808143G6S3vmf7wE8QOoX87Af3E/o7T3BaALAXCoaV0oyriTvSkL7Hm+4urlktO+68L6DcSUdJ/XbLyjM1LcXj6laYzxnTuFa47+NkXvbctwnD2OsdC1gwBhdBQDX5qWcndwAcP36PQDGMjkTqYbwkt7tU9K8EVueo95VhoZztmEy39gdT2oSrk1LLkazrgjmGk3xpJ3KNYHh2rQM94nDmGLrQz6h3MaKtbE0uQXX3s241uWstjZElIQzKXhSvX3rPrI35/jZ172pJ57TJ3H9Wng/95jr3oA7NRnHj5/6HXeuX4r72CFM11zn61tT6Rhch+Pyuo0fY2RJPKkpeFKSAHDH7wHAEJnzu8vavg+eU0k4VhfOFfBnmWpn9++yP/XvhqW4jx/CVC2nf42lK+I+vO8v72mMLIkn7Zz+TdjjO36WtV1v7+THmkIa1QWYqjfxjgur/X+3uLb8hDvpMMbK14LBgDE6FgDnxiW+yQ0A1wZv3/iNuREl4cxpSPUfc43njAuW5j28k6Ibf7g4DbsCaFy4eA6l2ikZYqF7Lf9th9tXCQdg09Gc7wbf7DpF59m7WR2fRpOyeUeQn71nRICZ4sEWAKpFebemOnQ65/nD+xuOUSzIwm3XRFywthRUMf1vJ/qWm9g7/VOOLF7pOx4SU4bUXftxZXojkJM37fAdP6vOmIc4tmI9R5esurSVFhGRK06Bi+AYP348R44c4fHHH+euu+7yHV+0aBEjRozglVde4b333uPw4cO888471KtXj48++giLxfsBY9y4cbz77rvMmzePPn36+N07MzOTp59+mkWL/npPZ5fLxeuvv8706dP/VTvi4+OZOHEi9evXZ+bMmb78EGejCBYsWEDPnj0B7xZJq1ev5uabb2bs2LGYTN4HWYMGDaJLly48//zztGzZ0tfGq9Wbb76Z5/F9+7xfhqKivKtywsO9H1gPHz7sVy4x0bsf+7k5ONav9z5Ab9SoUa77NmzYkLlz57J7926qVcs7kkAuvIdu6sGBk0cYOvtVYouXo1W13BFMzarUBWD57o1+x7Ocdlbv28rNNZoQGhDM6cwzvrLLdv2a6z4/7fqNYc3uoGbpimw5tIfk9FQAQmyBZGVvjRBiCyQl4wwARQKCGNm2D28u+YRT2WULg9AuvXEmHuHE2BexlClP4LW5fx4sJaNxHjvie7B+LkfcbqzN22ApH4Mjbg/u1NMYAwJ95w3B3i+JnjPe1XDmEqUp0uEOjr/2LLgL9wSi+vYiMRhxrpyf3UZP7vNOJwazBUxmPNn7vRvCivuXCc1+2HEmJedYZhpYbDn/tmVHW2ae8d3DdG0bHIveAY/7AjXmCmMw4vhprneltCePvnU5fH2b14pfa8fBeNwu7NmrNX0y0sB6zv7k2X3rOdu3EcUxN2iHfcFb4C68fWv/bna+fetxOjBarGAyYwgJwxAShvvQXz+A96SnYrDl9K1v27Ds312GoiWwXN+BzI9eL7x9C9737uLZeP5u/waH4vo7/ZuRhuGc964hIDj7eE7/mpt2IGvWG4W3fw1GHMvnecfcvxoX8hlzDdljric9Z8z1ZKaBNfeY6xsXwotjqt8Wx+fjCnXfaly4eF5rWy7P43HJ3ofqkUE5j0vmbz9JgNnAhI7lCbIY843iCLWZyHC68Xg8GAwG0uze/guxer/DHzpt59Pfk3nhpuh8c3xcLUyBAdR56WEcqWfYNOoNv3P25NMElcuZcLOEet+jjhTvd6yoptdSukNzfrjBf3GjiMiFZrrKx+qCosBFcCxZsoSiRYvSv39/v+OdO3emXLlyrFy5Erfbzdy5c3E6nQwdOtTvwf+wYcMICQlh/vz5ftevWrWKjh07smjRIm644Ybz1mHr1q3cdtttTJ8+/S/L5mfOnDm4XC6GDRvml/z6nnvuISgoyK9+P/zgXZH0wAMP+CY3ACpXrszNN9/MiRMn+P333/9VPQorj8dDUlISs2bNYvz48ZQuXZrOnb2r9jt16kSRIkWYOHEiy5cvJz09nW3btvHss89isVjo3bu37z7x8d4khn/e+gygTBnv6pG4uL9eJSUXztBZr1D3pX65Enufq1JUNEdTkkjLSs91bn92AtHYEuV8ZQH2nTj8l2XX7veGQ49q15dgWyDDW3YjJCCIX/ZuBuCRVr3weDy8/eOcf9u8K1LS2DEcGtyNrO2b8y3jcdgxWKx5njNmP2Q3l/BGwGT+vhVjUDChd/TCEBBIWPf+eNxuMrdvASB8wDAchw5yZuk3F7glVx717UXiceNa9yWuDbnbaYgsgyEqGvfJw+By4Nq2Ak9mGuZmPTBWrg8WG4ZSlbB0vA+P04FzQ85++e5DOzDYgjA1vAUsAZib3oHH48ad4F1VaG7eC0/SEdxbl1+ypl5yHjfOX77AuSZ3HgFDsTIYipXBfeJwnpMbpjotMEZXxrVpGZ7EA37n3PHevjU37QzWACzNuuBxu3Ef/AMAS+s+eJIO49r800Vp1hXB48axbCGOFbkX2hhLlMVYsizuY4fA6cAYXcl7wmQmYOgLBL/2KSFvfUXg8FcxlvdfdOGK+wNDQBCWlreDLQBrm+543G5ccd7fabZO/XEfO4Rz/b+LSC4wPG4cPy3E+XPu/jWUKIuxRFncx7P7t7Q3j4HBZCZg8PME/W8BwW98ScB9r2AsX9XvWl//Nr/d+95t3c373o3zfja3duiP+/ghnBsKcf963LjWLMK1Lo9xIaoMhqgyuJO844Jz63I8GWlYWvbEWOU675hbujKWzvd7x9y154y52eOCqfEtYA3AfMOd3r6Nzx5zW/bGc/Iwri0/XaqWXnoaFy4Zj8dDUrqTOVuTeHddIqVCLHSKzYmwGNagOIt6xdK8wvnzL9YuEUS6w83sLUmk2118uPE4BqBOSe8E3bvrEykfZqVjbPjFbE6BUPWh/gRFl2DHWx+Sdfyk37kTazYRXjOWMre1xlwkmKoPD8B5Jp3kTd7PBXVeeojD3/3M8V9yL1ITEZGrT4GK4HC5XAwdOhSz2ey3tdBZVqsVh8OBw+Hwrbz/c34Km81G3bp1WblyJampqb5k0osWLeLMmTO89NJLNG7cmFatWuVbjyVLlpCQkMDIkSN9W2T9Uxs2bMBoNOaqX2BgIHXq1GHNmjWcOXOG4OBgOnbsSOXKlalQoUKebQZIT8/9IPdqNm7cOCZN8q4OjYqK4oMPPiAszLvnacmSJfn444959NFHGTJkiO+asLAwPvzwQ+rUqeM7lpycjNVqJSAggD87u2VVWlr+e7DKhbf4j7y38TlXZHAYcUm5JywAX7TF2eTkkSFhZDqyyHRk5S6b6V9266E9TPhpPiPa9GFEG28E2NwNS/h2+2qKBofycKsevPjNNM5kZQBgMBjw5LWSsYDJWP/XYd9ZO38n8NqG2KrXJuv3Lb7jxvCi2K7xjpHG7J+ZjNXLSV+1nMjho4gc7s1hc2rOdBz792ApW4GQNh059sKonJWKBkPeK0ILAfXtpWbA3H4oBqMJ52/eLahITcL+4RNY7hiBtddzvpKejFTsH4/Gc2iX75h713pcu9ZhuXkIlpu9vz+cqz7Fc/wghsgyGGu3wPHpa+REjRjO+XshZzBg7ezNreFYl/d2JpYb7wDAseLTXOdcf6zF9cdarJ3vwdr5Hm+55fPxJB7wJjCvexP2T165Ot+7BgO2Hg9gMJqwZyf6NWUnErY264xz+zocq77DWLwM5tpNCXq0DhmTRuP6YwMArq2rcW5ZTUC34QR0Gw6AffEc3If3exMVN2xD5gcvXp19C97+7Trc27/ZCcDPJmq23NgZ5+/rcK75HmOxaEy1mhL4UB0y3386p3+3rca5dTW2rvdj6+rN4Wb/YS7uI/sxlCiLuUFrMqePuTr712DA0uke75ibvQUVp5PI+mAU1m4jsfV73lfUk56K/cOn8CTs9B1z71yHa8darB2HQcdhADh+XoDn2AEMUWUw1WmJff6rV23faly4sCasS+T9Dd5o2chAM5M7xxAWkLO4sFGZ/LelOleLmFCaVyjCKyuP8MpK72Kpu+pFUSUygH3JmXy98xSvtS2HMXtbMbfH4/v71cRosVB1eB+cGZnsGv9RrvN7pswjpv/tNPtsIgBul4vfHnyJrBPJlGzdlBItGvFdgy45F1wF71EREclfgZrgMJlMuSI3ztq7dy/79u2jXLly2Gw2Dh48SFRUlF/ehLOio70rtuPi4qhduzbgzakwevRoQkJCSEhIOG89WrduTb9+/YiMjMTp/HfJ7A4ePEixYsUIDAzMdS46OhqPx8OBAweoXr067du3p3379rnK2e12VqxYgcFgoFKlSv+qHoVVdHQ0d999N/Hx8SxdupTevXszdepUatSoQXp6OuPHj2fPnj00atSIGjVqEBcXx08//cQzzzzD1KlTKV3auxra6XT6JpH+7OzxrKzcD8bl8rKYzGTlkwzx7NZSAWbrX5d1+JcFGD73TT7btJy6ZWL5/Wgc321fDcCotv04k5XBxOWfUqxIBDP6P0Obag04mX6aF7+ZzoSf5uf5GoVFyvyZBF7bkOLPvMaJsS+SueU3LNHliHzoCfBNSOd8eUt86gGCmjbHHF2erB1bydrq3U4s/O57se/dTfqKJZhLl6XYky9hu6YWruOJJE16k/TlhXeP7fyoby8cc6f7MFWsi/vQ7pzcHBYb5ha9MBYvhytuM56j+zBERmOsch2Wjvdhn/UcnM7ZHswx50VcsQ0xFC2N+/AuPAe9q7TNLXrjSdyP+49VGCJKYbn9EQzRsXA6CcfiD3D/8ctlaPGlY719OKYq9XDF78ozubixfA2MZarg2vUrnqP787xH1oznMF3TyBthE78Td3bUnKVNXzxH43BtW4khshTWbiMwlq2K5/QJHF9PwbV1ZZ73KyxsvR7BXK0+rv07sJ/dg99owJ10lKwvPvBbYW2qUpvAB98koN9Izjzd2xdJkzHpKUy1m2IsFo37wA5ce7xRkNZb7sJ9aB/OjSswFCtN4IAnMFa4Bs+p42R9+h7O3wpxNFI2W4+Hvf17YEdObg6DEXfSUexfTvOLvDBWrk3g8Dew9RlB+rN9fP2bOXk0plpNMBYrg+vADtx7s/u34wDch/fh2rQCQ1RpAvo/gbF8NW//fvYero0rLnl7LyVL5/sxVaqLO2FXTm4Oiw3LTb0xFi+Pa99m3If3YoyKxhjbAEvn+7HPfAZPSs6Ya5/1AsZqjTAWLY370C7cB7zjgrlVHzyJcbi3/4KhaCmsdz6KoUz2uPDdB7i3a1w4S+PC31O6iJUBdaOIP21nWdxpBny2l0m3xFC9WO7v639lfIfy/LQ/lYOnsqhZIoj6pb3bK01ce4zYyADaVArl4KksnlgSz9bEDEqEWHjs+lK0qxx2oZt1xSrXrT2BpYqze/Icsk4k5zrvzrLzQ9MelLm9NYGli3Ns+XqSN3o/c9Ue8xDxn/3AyQ1biWxQi0bTXiasemVO74xj/T3PcWz5ukvdHBERucwK1ARHftxuNy+++CJut9uXKPrUqVO+LYT+7GzUxrkr76+77rq//Xr/JmLjz1JSUqhYsWKe587WLzX1/Hv4v/vuuxw5coSWLVtSvHjx85a92nTt2tX3959++olhw4YxatQovvzyS1566SWWLFnCY489xuDBg33lFi9ezPDhw3nggQdYsGABAAEBAX4J3891NlF9XpNUcnllOLKwmvLOSWPLnqw4Y/dGWWTYs7CG5j0U2iz+Zc/6cecGfty5wffvEqFFub9FF0YsHE+mI4sP+z1NjVIx3Pn+E9SOrsz47o+y7fBeftr1239u25UqY83PJE16k6KDH6Dkq+/mHN+wmpS5M4gYcA+erEy/a9JX+X9BtlaqSnCzNiQ+9QAAxZ56GaMtgMQn7ieocTOKj/4fCXt34Uzw39qmsFPfXgAGI+ZbhmOu2xr3ySPY544Bt3eBgrndEEzVmuBYMh3XqoW+S4zVmmDt9iTWro9j/+BRv9u5d/l/cTaUiMFYvSmOOS8CYLn9EbDYcHzyAsbK12G54zHsk+LwnMw7sqxAMxqx3vEg5uva4k46gn3m89694v/EfK03Mta57vxJll1/itIzlKqIqeYNZM14DgBr95EYLDayPnwWU7UGWHuMIvNIHJ4Thy5Me64kRiMBvR/D0vRm3McPk/He076+tX8327sv/5+4dm/BuX4JlsbtMFWp41utDeDasopzM+8Yy1TCXK8ZGZOeAiDwrifBYiPj3Scx12xMwN1PcSZhL55j51/4U2AZjdh6PYqlsbd/M99/xte/jsWzcSzO3b/uPVtwbliKpVHb3P27dbV//0ZXwly3GZmTRwMQ0P8JsAaQ+d5TmGo0ImDAU6Qf2lc4+9doxHLrA5ivbYP75BGyZr/o61tLh6GYqjfF8f00nCtzormM1Zti6/kU1h5PkDX5Eb/buXes5dwsEIaSFTFVvx77rBcAsHZ5DCw27B8/hym2AdauI8g6ug9PPtG8BZrGhYvmzuo5eRhX7D/N/V8f4Kkl8SzsUQXDP4ywMBgMtIzx38pqx/EMftibwoSO5TEYDDyxJJ4Mp4eJnSqw4sBpHv/hIFWjYqkQbsvnroVLTL9bAdg7Jf9FYG6Hg4Pz/KNCozu3IrJBLb6pcysGs5kbPh1P6u4DbHx0MBUHdqHZZxP4omJrHKdOX9T6i8jVw3QVRtkVRAUuB8efeTwennnmGVavXk3NmjV9ER5X8sp7j8eDy+X6T/X79NNPee+99wgLC+Ppp5++KPUsLFq0aEGTJk3YvXs3cXFxLFq0iOjoaAYNGuRXrm3btjRr1oytW7eyZ88eAEJDQ8nKyvJNZpzr7ATZ2QkpuXIkp6cSdjZZ4p+cPX52q6rk9FQCrQFYzbknRMIC/MvmZ3T7uziWmsyUlV8QHlSEO+u14PUfZrFoy8+M+XY6vx3cyX3Nu5z3HoXB6XkzSeh3KyfG/Y+T743lyEMDOTpiGIbspNeu5KTzXh8x8H6y/thKxpqfsVSsQkD12pz8YAIZ634hacJruFNTCe1056VoyhVHffsfmG1Yeoz2Tm4kHcI+8ylIy97n2WDEVLsF7uREv8kNAPeO1bh2b8AYHYshKnceJr+XaNkXz6FduHdvwFC8AsYy1XAu+wj3nl9xfj8FMtMw1b/5YrXw8rHYsPV71ju5cTyBrPdH4Uk9mWdR4zUN8dgzce1c/49ewtq2nzeaY+d6DCUrYCpXDcfiGbh3bcDx1WTISMPcMHeUa4FnsRE4bIz3IWZiPOlvPYIn5fw/52e5Du4GwBhV6rzlbJ3vxr3/D1zb1mKMrogppjpZi6bh2r6OrPkT8KSnYr2h039uyhXJYiNgyIveyY1jCWS88+jf7l93vLd/DZElz1vOesvd3lXx29diLO3tX/uX03D9vg77pxPxpKdiub7jf27KFcdiw9rrGe/kxolD2Kc9AannjLl1WuJOPuo3uQHg/n0Vrl3rMZapiqHY+cdcS+u+eBJ24t61HkOJChjLVsOxZCbu3b/i+PZ9yEjDdJ3GhXNpXPhnmlUIpVGZEPaczCI+Jff3wH9j/NpEapUIpFmFUHaeyGBLYgYPNCrBjeWLMOqG0oTaTCzYnvfv0MLGXCSY4i0akhaXwMlft/2ja2u/+CAH5n5DyrZdlG7fjOCypfj1wZc4sngl64Y+g7lIMDG9b7lINRcRkStVgZ7gcDqdPPnkk8yfP5+yZcvy7rvv+iYHruSV9waDAYvF8pf1CwoKyvP87Nmzeeqpp7DZbEycONG35dbVzOl0smrVKn75Je8tQM5uOZWSkoLdbicmJibPlTiVK1cG4PBh74qvs3lP8tq27OyxmJiY/1x/ubB2HTtIidCiBFhyr4CKiSqNy+1i97F4X1mACpG5v/DFRHnfNzsT81/VXq5oSQZffysvfjMNh8tJxajSmE1m3/3PvkalYlfHz6nzyCFSP59DytwZZG72rhC0Va2Bx+3GcWBfvtfZqtcmqEkzktn+7YkAACAASURBVKdNAMBSxpvY3RdR4HbhOJKAufT5H3oUZurbfyEgGGu/MZiqNMB9ZC/26aP8tpsiOAyD2YonKe+VqJ7j3vHBEFYs35cwlKmKKbYBzmXe/aMNRb3jhifpSPZN3HiSj2KIOP/D0AInMATb4FcwVWuI+9AeMt97zG9bmXMZoitjDI3EtWsD5JHvKD/GctUwXdMIx+KZ3n9HecdR99loDbcb98mjGPIYvwu0oBCCHn4Tc63GuA7uJv3NB/EkH/MrYixbBVPl2nlebsj+3edx5P9QzhhTHXOtJmQtmub9d3Fv3/pWZbvdeE4cwVCs9H9tzZUnMITAB97AXLMxrvjdZIzNo3/LVMFYKZ+I7ezoTvL5HA/Z/VuzMfYvvf1ryO5f93H//jVGFbL+DQjBdtfLmKo2wH14D1lTR/iPC8FhGCzWfCOu3MfOjrn5R6Yby1bDVLUhjqXZY27k2TE3O1rD7R1zjUUL2ZirceGCc7o9rI5PY1V83rsmlC7iXfyUnOnK8/w/senoGVYcSGV4I+/78mD2pEm5cO94YjYaKBNqvWCTKVe6Um2ux2S1Er9w8T+6rnyPjoRVr8TWZ8cDUKRKeQBSd+8HwHHqNFknkgmpVO6C1ldERK58BXaCIyMjg3vvvZeFCxdSoUIFZs6cSYkSJXznQ0ND893i6ezxi73yfvr06YwfP97vz9nk52FhYX9Zv7zyh7z99ts8//zzBAYGMnny5FxJyq9mw4YN47HHHsPlyv0hdMeOHRgMBooXL47FYmH//v153uPAAe8Dv2LFvA+z6tevD+D7/3autWvXUqRIEeU/uQKt3LMZk9HEjZXr+B23ma00jqnJ9sNxpGWl+8oCNK9SL9d9WsRey6n0VP7IZ794gGc7DuTAyaPMWPMNAGajOfu/OUkJA8zWQp/zLmLoQ5Rb9DPGsAi/48aIogTUrIt95++4U/MPFY8YOJyM39aR+Zt36x+DKXvbMFPO9mEGq/WqTB6ovv2XTBasPZ/BWKYa7v1bsc94AtJT/MtkpOFxOjBE5j0B6ZusSMu9N/RZ5pZ9ccVtxh2XnQD+bF4U4zkfscyFrH/NFmz9n8NUrhqufVvIfH8UnEnJt7ipbDUA3HH/bJWmpV1/XHs34d67yXvg7Lh6zvhqMFsKXd8G3fsyppjqOHdtIv2th/GknspVLHDYCwQ+/CaG4NBc50yVawLgPrgz17mzbLcOxLlzI66d3hw9vj415fRtoXvfApgtBA57CVNMdVy7N5Ex7hE8abn7N2DI8wQ++Cbk1b/ZEx/n619rp7u9/bvL27+G7P41nPPexVLI+tdswdrnWYxlq+GK20LWtMdzjwuZ5x9zjZF/Y8xt3c+bu2Of9/ObIY9xAXPeUfIFlsaFi2b41/t54od4XO7cbdqZlIkBiA7Ne9vbf2L8mkQaRgfTuKz3+/3Z13Ods/daltPD1bILSmTjugAcW7HhL0rmMJhM1Hp+OHEzv/BNaBjM3s+yRnPOZ1pTgK1QvUdFROTvKZATHCkpKfTv35/ly5dTvXp1Zs+e7Vuhf1aFChVISkoiMzMz1/WHDh3CaDRSvnz5i1rP6dOnM2HCBL8/Zx+UV6hQgWPHjuW59VFCQgImk4ly5XJWHng8HkaPHs2kSZOIiIhgxowZNG7c+KLWvyAxm820adOGkydP8sEHH/idmz17Ntu2baNFixZER0dz0003kZCQwEcffeRX7pdffmHZsmVUqlSJatW8D2Nat25NcHAwU6dO5dSpnC8SCxYsYP/+/XTt2hWjsUD+GBVqs9Z/j9Pl5LmOg/y2nnry5v6EBYbw/sqcBLifb17B6YwzjGzTh4ignC+EdzXpRNUS5Zn6yyI8+XxIrlK8LP0atee5r6ficnsn1nYfi8fldtG4oveLpMlo4rry1/giRQorx/69mIqEEnrLOVtxmc0UG/kCBouFU59My/fagGsbEnhtQ1+EAYDj4H4AbNW9D5KMIUWwlCmPo7DmiDgP9e2/Y27VD2PZ6rjj/8A++zn4Uy4dAFwO3LvWYYwoiamB/5Ybxop1McY2wH38IJ7EuDxfwxhTG1NMHZzLPvYd8yR5VyYby3h/jxAQjCEyulDl37C0G4CpQg1cB34na9rTkD1hnB9jtHchgDt+199+DWOlupgq1cXx/UzfsbOr343lsvs2MARDVHShyr9hu3UQpko1ce3dTsaExyEz7751/rYcg9GE9Vb/7TbN1zbHXKsJzl2bcR/en+e1pqr1MFet51ulDeBO9EYdmmKqew8EhWAsUQZ3Idtn39o5u3/3bSfj3Sfy79+NKzAYTdg6D/Q7bqrXzBv5sXsz7iP787zWFOvtX/tXufvXWCG7fwNDMBYvXP1rad0fU/nquA7+gX3ms5CVx5jrdODeuRZj0ZKYGvlvIWOsVBdj1Ya4jx3EczTvqERjxTqYKtbBuSTnM/zZiC5j2areAwEhGCJL50R6FQIaFy4Os9FAq4qhnMxwMX2jfwTi3G1JbD+WQbMKRYgK+m8THGvi01h36AzDG+UsxjybZ2NLovf/ZUqmiwMpWZS/SvJvFK13DQAn12/929fE9L+d4ArRbHthou9Y6k7vWBHZ2LuoLbRqRazhoZzetf/CVVZErnomY+H4U9gVuCTjWVlZDB06lM2bN9OwYUMmTZqUZ6RD/fr1Wbt2LRs2bOCGG27wu37Tpk1Urlw5z+supBUrVuR7rn79+mzYsIFff/2VJk2a+I5nZGSwZcsWqlat6rdF1UsvvcT8+fMpVaoUH3zwgaIG8jBy5Eg2bNjAm2++ydq1a4mNjeWPP/5g9erVlClThueffx6AJ598ki1btjBmzBh+/PFHqlevzsGDB1myZAmBgYG88sorvu2rwsPDGTFiBM899xy33XYb7du3JzExkW+//ZYKFSowdOjQy9lkyceuxIO8sWQ2j7frx8YnZ/LllpXUKB1Dp1o3sHLPZqb88oWvbHL6aUZ+NoH3eo1i01MzmffrUqLDi9Gtfit2Jh7g5e9m5Ps6L9wyhB2JB5iz4Qe/+32+eQUj2/QhMjiM6iUrUCaiOOOX5Z9ArzBI++EbitzanfC77sVapRqOw/EENmiKrVJVUr9eSPrPS/O9NmLgcNLX/EzW9s2+Y/a9O8nauZ3Iex/DWrEKAbXrYzCaSP1ywaVozhVFffsvBIdjus67t737RDzm6/POL+JcuQDH91MwRsdiaT8UY9WGeI7sxVC0NMaqjcCRheOLt/N9GXPLvrh2b8CTsMN3zJMYh/vwbsxtB2IoXh5juRpgMOL69fzJtQuMkAjMTbwPJj3H4rG06JpnMcdP88Dp3cLHUNS7hZT7HyT8tbTrj2vHetwH//Ad8xzZhythF9aOQ3CWrIApphYYTTjXfvNvW3NFMYRGYGnuTbrqOnoAa9ueeZazfz+brG8+wlSjIdYbO2EqUxHXnm0YS5TFVLMR7lMnyPzotXxfx3brQJzb1uLet913zJ2wF9eBndjuvAdj6RhMVWqDwYjj5y8vbCMvI0ORCCw3dgbAffQg1jY98ixnX/wJ9u8+wly9IZbrO2EsXRHXvm0Yi5fFVKMR7pQTZH78er6vY73lbpzb1+KO+913zH1oL66DO7HdMczbv5Vrefv3l68ubCMvl5AITI28k8Se4/GYb8w775jz5/nYv3kfW3Qs1k7DcFVrhPvIXoxFS2G8pjHYs7AvHJvvy1ha98O1az3u+HPGhaP7cB/ajeXmwRhLVMBYoSYYTbjWf5vvfQoSjQsX1yNNS/HrkXTGrUlk/aEzxEYG8MeJDNYmnCE61MIzLf77FrPj1x7lhnIh1C2Vkx+wWrFAqhcL5PWVR9idlMmvh8/gckPXGkXPc6fCI6RSOZzpGWQcOfbXhQGjxUKtZ+5l79QFnDmQM3l55PuVnIk/QtOPXuPAJ18T3fkmMk8ks3924XmPiojI31PgJjjGjh3Lxo0bqVevHlOmTCEgICDPcrfccguTJ09mwoQJNGzY0Jeb47333iMtLY3u3btfymrnWb8pU6Ywfvx46tev76vfpEmTSE9Pp1u3br6yixcv5qOPPqJo0aJ89NFHlC1bCPdJvwBKlCjBggULeOedd1i2bBlr1qyhePHi9O/fn3vuuYeICO/2LiVLlmTBggVMnDiRZcuWsW7dOsLCwujQoQP3339/rpwaPXv2JCwsjKlTpzJr1izCwsK47bbbePjhhwkPD78cTZW/4YnP3yU+OZF7m93Jgzd14+jpk4xd8gnPfz0Vu9N/3+zJP39GcnoqI9v24b7md3Iy/TQz1nzDU1+8R3J63lv/1I6uTLdrW9FlypO5IjwGfvQSk3s9Tv/GHUhKS2HgRy+xat+Wi9bWK4LbReKIewi/+z6CmjYjsEFTHPEHOPHG86R+81m+lwU2aU5A9docGpr7QVPi0w8TNeI5Qm/pijPxCInPPYbzaOFZkfm3qW//MWOZat6tiwBzvbb5lnOuWQSpSWRNfQRzsx6YYhtC+VqQkYp7+884l3+Sb+SFMbYBxjLVyJryUK5z9nkvY7llOKb67fGkHMOx4H94TiVemMZdZqZy5/Rtg3b5lnOs/DxngiMo1Lvv+3m2sfJ7jWsaYSpXjYzxw3Ods3/0ItY7H8LcqCOe5ETss17Ck1xI+jamOobs/A7W6zvkW87+4wLIOEP668OxdeyPue6NWFrejictBceqb7F/OR3P6bwT1ZpqNcEUU50z/8u9QCNj8jME9HkMy4234DmZSMaU5/EkHb0wjbsCGM/pX0vT/BNQ25d96u3fscOxtu/n7d/mt+M5k4Jz9bfYv/4w//6t6e3f9FeH5TqX+f6z2Ho/iuWGTniSj5H5wQuFpn+NZavmjAv1zzPmrv4CTieR9d7DWFr2xFi1IeYY75jr2roC57LZObk0/vwaVRtiLFuNzEkP5jpnnz0Gy20PYGrQAc+pY9jnvFx4xlyNCxdViRALc7pUYsK6RFbsT2XdoTSKBVnoUyeSodcVJzzgvz0u+SnuNFsSM5jTtXKuc+Pal+PZZYeYt+0kpYtYGHtzOcqEFrLt1fJhiwwnPeHvv48qD+2OrXgk28dM8jvuyszipw5DaPT+C1S5rzcpv+9hdd+ROFPPXOgqi4jIFc7gyW/vlSvQ8ePHadmyJQ6HgzvvvJNSpfJOKjlkyBBsNhtvvPEGU6ZMoVKlSrRs2ZI9e/bw008/ce211zJjxgzfpMKfJSQk0KpVK1q1asW777573jo5nU5q1KhBjRo1WLhw4T9qz6uvvsq0adOoUqUKLVq0YOfOnaxYsYIGDRowbdo0X/06dOjA3r17adq0Kddee22e9+rUqZOSXcsVyXCPtlK7WPbtyGP7B5ErXKmWSvx4sbjTnZe7CoWaK+XvJ0iXf8Zguko2nr8MTBF5LwaT/855Qp/DLhbbNVdHJMPlsuDBv781lPxzvTz557oRkYJn0NKBf12oAJja6oO/LlSAFagIjs2bN+NweFcDfvrpp/mW69+/PzabjUcffZRSpUoxe/ZsZs6cSbFixRgwYAD3339/vpMbl9LIkSMpVaoUn3zyCTNmzKBYsWLcfffd3Hfffb76JScns3fvXgBWrVrFqlWr8rxXzZo1NcEhIiIiIiIiIiIicgGYDFqIUxAUqAgOESl4FMFx8SiCQwoiRXBcPIrguLgUwXHxKILj4lEEx8WjCI6LRxEcF5ciOC4uRXCIFC5Dfxx0uatwQUy+aerlrsJFdRXkURcRERERERERERERkcJGExwiIiIiIiIiIiIiIlLgFKgcHCIiIiIiIiIiIiIiF5t2Ui0YFMEhIiIiIiIiIiIiIiIFjiY4RERERERERERERESkwNEEh4iIiIiIiIiIiIiIFDjKwSEiIiIiIiIiIiIicg6jQUk4znI6nXz88cfMmzePhIQEihUrxh133MGQIUOwWCx/ef2OHTsYN24cGzZsIDMzkwoVKtCnTx+6d+/+n+umCA4REREREREREREREcnTCy+8wP/+9z/Cw8Pp168fJUqU4J133uHRRx/9y2t37NhBz549Wb58Oc2aNaNnz56kp6fzzDPP8Prrr//nuimCQ0REREREREREREREcvntt9+YO3cu7dq1Y9y4cRgMBjweD48//jiff/45y5Yto2XLlvle//bbb5Oens7EiRNp3bo1AA8++CB33HEH06ZNo0ePHpQtW/Zf108RHCIiIiIiIiIiIiIiksusWbMAuP/++zFkb9tlMBh45JFHMBgMzJ8//7zXb926lbCwMN/kBkBwcDCdOnXC7XazdevW/1Q/RXCIiIiIiIiIiIiIiJzDpBQcAGzYsIGIiAhiY2P9jpcoUYIKFSqwfv36814fHh5OXFwcKSkphIWF+Y4nJiYCEBER8Z/qpwgOERERERERERERERHxY7fbOXr0KOXKlcvzfHR0NKdPn+bkyZP53qNHjx64XC4effRRDhw4QFpaGgsWLOCzzz6jRo0aNGzY8D/VUREcIiIiIiIiIiIiIiLi59SpUwAUKVIkz/Nnj6emplK0aNE8y/Tt2xeTycTLL79M27Ztfcevv/56xo4di8lk+k91VASHiIiIiIiIiIiIiIj4cTqdAFit1jzPnz2elZWV7z02bdrE+++/j8Vi4bbbbqNv375UqlSJVatWMW7cODwez3+qoyI4RERERERERERERETOYVQODgICAgBwOBx5nrfb7QAEBgbmeT4tLY2hQ4fidrtZuHAhMTExvusee+wxZs+eTeXKlendu/e/rqMiOERERERERERERERExE9ISAhGo5G0tLQ8z6empgL5b2G1dOlSTp06Rd++fX2TG+CN/Hj22WcB+Oyzz/5THTXBISIiIiIiIiIiIiIifqxWK6VLlyYhISHP8wkJCURERBAeHp7n+aNHjwJQqVKlXOciIyOJiIjgyJEj/6mOmuAQEREREREREREREZFc6tevz/Hjx4mLi/M7npiYyIEDB6hbt26+10ZGRgLkuhYgJSWFU6dOERUV9Z/qpwkOEREREREREREREZFzmAyF489/ddtttwHw1ltv4Xa7AfB4PIwdOxaPx0P37t3zvbZly5YEBgby8ccfEx8f7zvucrl45ZVX8Hg8dOzY8T/VT0nGRUREREREREREREQkl6ZNm9KhQwe++eYbunfvTqNGjdi4cSMbNmygXbt2tGjRwld2/PjxAAwfPhzwRnA8/fTTjB49mltvvZV27doRGhrKmjVr2LFjBw0bNmTAgAH/qX6a4BARERERERERERERkTy99tprVK5cmc8++4wZM2ZQunRpHnjgAQYPHozBkBMmMmHCBCBnggPgzjvvJDo6milTpvDDDz+QmZlJ2bJlefDBBxk0aBBWq/U/1U0THCIiIiIiIiIiIiIikieLxcJ9993Hfffdd95yO3fuzPN448aNady48cWomiY4RERERERERERERETOZTRegAQWctEpybiIiIiIiIiIiIiIiBQ4muAQEREREREREREREZECRxMcIiIiIiIiIiIiIiJS4CgHh4iIiIiIiIiIiIjIOUxKwVEgKIJDREREREREREREREQKHE1wiIiIiIiIiIiIiIhIgaMtqkRECqjTiVmXuwqFVqWboi93FQqt46sOXe4qFFoB4QGXuwqFWvLeU5e7CoVWmZblLncVCq30/SmXuwqFVlCFsMtdhULrq1FbL3cVCrWAAMjMvNy1EBERuXA0wSEiIiIiIiIicpXo5dl5uasgIlIgGJWDo0DQFlUiIiIiIiIiIiIiIlLgaIJDREREREREREREREQKHE1wiIiIiIiIiIiIiIhIgaMcHCIiIiIiIiIiIiIi5zApB0eBoAgOEREREREREREREREpcDTBISIiIiIiIiIiIiIiBY4mOEREREREREREREREpMBRDg4RERERERERERERkXMYDUrCURAogkNERERERERERERERAocTXCIiIiIiIiIiIiIiEiBowkOEREREREREREREREpcJSDQ0RERERERERERETkHCal4CgQFMEhIiIiIiIiIiIiIiIFjiY4RERERERERERERESkwNEEh4iIiIiIiIiIiIiIFDjKwSEiIiIiIiIiIiIicg6jcnAUCIrgEBERERERERERERGRAkcTHCIiIiIiIiIiIiIiUuBogkNERERERERERERERAoc5eAQERERERERERERETmHyaAkHAWBIjhERERERERERERERKTA0QSHiIiIiIiIiIiIiIgUOJrgEBERERERERERERGRAkc5OEREREREREREREREzmFUCo4CQREcIiIiIiIiIiIiIiJS4GiCQ0REREREREREREREChxNcIiIiIiIiIiIiIiISIGjHBwiIiIiIiIiIiIiIucwKQdHgaAIDhERERERERERERERKXAUwSGF2quvvsq0adOYOXMmjRo18h2fP38+o0ePzvOaOnXqMG/ePN+/7XY706ZNY9GiRcTHx2O1WqlduzbDhg3zu6dceqXCovjj2Tk8+9UUxv04N9f5vo3a83CrHsQWL0dyeirzfl3KM1+9z5msjFxlO9Rsyuj2d1GzdEUyHFl8uWUlT3wxieOpyX7lGsfUZFLPkcSWKMe2w3t5aP7brN631a+MxWRm1/Pz+XTjMh779J0L2+jLzFysONW++pqjE8Zz4qOZfueK3tmFsi+OyfO6M5s3sadnD9+/Q1u2pPTIUZiLFSN9y1YOjXmBrH37/K4xhYdzzeIlHB33NidmfXzhG3OFMBSJwNqxP6YajTAUicCTnoprx2/Yv/4QT9IRXzlzkw4E9H40z3u44n4n483hvn+bajXBdvswDGGRuPbvIGveO3gSD/pfFBxK8HMfY/9qGo7ln1+Utl1uxohIwvoMJaDhDZjCI3GnppC5aR0pMyfhOnrIr2xQq44Uub035jLlcaeeJuPnH0iZOQlPpv94EdC4GeGDH8FUNAr7zu0kT3wFZ3yc/+uGhlNq+iJSZkwkbVHusakwMIQVJbjLQKzXNsUYVhRP2mnsWzdwZv4U3McO55QLCCLojgHYGrbAGFUCT0Y6jh2bObPgA1wHdvvd01r/BoL7DMcUEYljzx+kTXsD1+ED/q9bJIyi4xZwZu5kMr9fcEnaejmZoopRYf5XJL0/gVOffOQ7HvPFD1hKR5/32qPPP8npr7w/28HNWlLswZGYo4qRuX0Lx14bg32//5hrDAsn5vPFJE0ax6l5sy58Y64UIRFY2vbBVK0hhpBwyEjFtXsTjsUz8Zw8CkDA4zMwFi1x3ttkzX0T168/AGCq3hhLp8EYihTFHb8T++cT8RyL978gKJTAx6fj+G4GzlWLLkrTLjdDWFGCbr8bS90mvnHBsX0D6Z9+gPt4zriALYDAjr2wNWqFMaok7uQTZK1ZSsaXMyEr0++elnrXE9zrfozhkTj3/cGZGWNzjwshYYSPnUfG/PfJ/OHTS9HUSy8kAkvLXhirNsAQHA4Zabj2bcK59GM8yUdzyllsmFv0xFTrRgxFIiH9NK6d63AsmQnpp/1uaazWCMvNAzGEFMV9aBeOrybhOZ77fRvw8Ac4lszEtfbLS9DQK4c1KoLqTz9IqVtaYQkrQtru/cR9MJe4qXPA4/GVq3BXV6o9eR+WIiEcX7GOTQ89R+bhY373KlK1Iq1//YrV3e7j6DfLLnVTRERECj1NcEihtWXLFmbMmJHnuZ07dwIwePBgbDab37mSJUv6/u52u7nnnntYuXIlsbGx9OzZk9TUVL777jsGDBjA2LFjad++/cVrhOQr2BbIwqGvEBYYkuf5x9v143+33cvmhN2M/2k+tUpX4pHWPWkcU4MWb92Lw+X0le1xXRs+Gfgie48nMGnFZ5QrWoIBTTrSvEo9rnvlLlIy0gAIsNj4bOir2F0OJq1YSPsaTfh++NtUebYriadP+u435IbbiAwO5ZXvZ+aqV0FmDAqiwjvvYCpSJM/zAVWrAnBsyvu47Xa/c46jOV++zcWKU37s29jjD5I0bx7h7W6m4pSp7OjQHk9Wlq9c8cFDcKWeJmle4XxADN7JjcAREzEWLYHzjw24f12GsURZzNfdhLlGQ9LfuB/Pce+DeGN0DAD2xZ+A079/3ckncu4ZFknA3c/gPnEY58qvMF/bnMD7XiH9xQHgyLnO2rYnnow0HL98fdHbeTkYIyIpMW4m5uKlyPx1NenLF2MpU56gFjcTcF1Tjj3UH+dh74OcIt3vIvyu4dj37SLtizlYYipT5I4+WKvV4tjIweD0jhfGolFEPfkqziMJnPnmUwKbtaHYSxM4OugOPPac926RbgNwn0kl7duFl6XtF5shrCgRL03FFFUS+5Z1ZK1agqlUOWzXt8FatzGnnh6M62gC2AIIf+5dzBVicezaStaGFRiLFsfWsAXWOo04NeYBnLu8E8TGiChCH3wRV+IhMpZ8ga3JTYQ9+RYnH+7h974NurUvnvRUMpd+cbmaf8kYAoMo/do7mEJyj7nJc2ZiCgnNfY3NRkSfu/A47GT+vg3wTpKUenksjkPxnPpsHkVatyN6/BT2d+ngN+YWHTAYd1oqKZ/Ny3XfQiMkgoDh4zBGFMe161dcm5djKFYGU90WmKpeR+bEh/CcOIxz5WcY8vp8YbZibn4nOB24E3YBYAgtirX3k3iSjuBc+w2m2s2wDXyJzNcH+Y3Vlpbd8GScwbn220vV2kvKEFaUsOemYIoqgX3rOuxrlmIqVQ5rkzZYajcm5fmhuBMTwGgi9NHXsVxTD8fvv2Lf+AumcpUJurUf1loNSRlzr+9n3hAeSZH7X8B17DCZPy7C2qglRUaM5dTInn7jQuAtffCcSSNzWeGcOCIkAtvQsRjDi+Pa8xuurSswRpXBVKs5pir1yZr8KJ6Th8FgwNr3eUwxtXAn7MK5fRXGEuUxN2iPMaY2We89BFnp3nsWKYq12+N4ko/g3PAtppo3Yu33Alnjhvq9b803dsWTmYZrQ+F83+bHVqwoLZbPIzimJHjaCQAAIABJREFULCfXbSJh/kbC61an3jvPEXVjA9b3ewSA8Ho1uPbdMZxct4lDa7+nfO/baDx3Ij/d2NXvftWffZDkX7dqckNEpAAyau+jAqFATnAcP36c8ePHs3z5cpKSkggLC6NJkyY8+OCDlC1b1q/s559/zocffsj+/fsJDQ2lffv2PPDAAwQHB+d7f7fbTbdu3ShevDjvvvvuX9bn3nvv5ejRoyxc+M8fZCxcuJAZM2Zw4MABwsLC6NChA8OHDycoKMivnMPh4OOPP2bhwoUcPHiQ8PBwWrduzf33309ERMQ/ft3Czm6389RTT+FyufI8v3PnTsLDw3nsscfOe59vv/2WlStX0rZtW9566y3MZu+PzKBBg+jSpQsvvPACrVq1wmq1XvA2SP7KFS3JwqGvUL9ctTzPl40owQu3DGHV3i00H3sPTrf3ffB8p8E803EgQ264jYnLvSt/g22BTOj+GHuPJ1Dv5X6kZnq/+C3+fS3T+o1mdPu7GLFwPACdal1PybBIGr06kHX7tzN2ySccfPlzeje4mbFLZwPeSZCn2g/gnWXzOZF26mJ3xSVjKV2aCuPGE1SjRr5lAmOr4jx1iiNvjT3vvSJu6YTBbGbvwIE4jx8j5bvvqDJnLqHNmpPyw2LAOwkS1aMnh/73Mh6H44K25Upi7dgfY9ESZC2chOPHnNXo5utaETDgSWx3DCNz8tMAmKIr4jlzGvuiqee9p/m6VmAykTlhJJ6UJJwblxP02ARMNRrh2vQz4J0EsdzYmawFE8FZOPs3rM9QzMVLkfz+m6QtzFmNHtSyPZGjXiJ8yCOceO5hTMVKEtZ3GFm/b+bYiMGQPfkZ2ncYYb2HENL+TtK+9E6yBd/UAUxmjj1xD+6TJ0j/eQkl3p5BQIPryfjlR8A7CRLSqSun3nsDCul7N7jLQExRJUmb+Q4Z38zxHbdd35bQ4c8R3Gc4p98YRWC7rpgrxJL+7TzOzHjbVy7zmrqEjX6HIgNHkDyqn+9azGZSXn4oezX3j0SMmYK1XlPs634CvJMggW3uIG3G24X2fXuWuWRpSr82joBr8h5zz43mOFfxkaMxmEwce/UV7Pv2ABB68y0YzGYS7huI68Rx0pZ8R7npcwhu2oy0ZdkRCFHFCO/Sg+Nv/q9Qj7mWtn0wRhTH/uX7OH/O+dxuqtcSW89RWDoNwf7hczhX5h3VZrntPgxGE1lfTsCTeCD72pvAZCJr6hN4Tp/EteVnAu5/G1O1Bri2/QJ4J0HMTTphX/QeuApn/wbdfjemqBKcmTWezO9yFiZYm7ahyD3PEtzrflLfehxb845YrqlHxrdzSJ89Ief6bkMJvKUvtuadyFri/X9ja+odF06/+hCeU0nY1y0j7LnJWOs0wb5hOeCdBAlodTtnPh5XaMcFS8teGMOL4/h2Cs5VOe9NU+0WWLuOwNJ+EPZZL2C8pgmmmFq4fl+Ffc7LvigDc+t+WJp3x9z0VpzLPvEeq93C+779cDSknsS1bSUBQ8dijL0O9++rvC9QpCjmhh1wfPO+73fj1aLmSyMIjinLnndnsuXRl/yOxz4yiMTFP3Pw488o3+9O7CdPsaJdP9yZWSSv30zDmW8RXq8GpzZuByC8bnVK39qWX24ZeLmaIyIiUugVuHmo48eP07VrV+bOnUulSpXo27cvtWrV4quvvqJLly7s37/fV3by5MmMGjUKt9tNnz59qFatGh9++CEDBw7E/qfVxecaM2YMW7duzff8uSZPnszSpUv/VVsmTpzIE088gcFgoE+fPsTGxjJt2jQGDRqE409fLkeOHMkrr7yCzWajV69e1KxZk1mzZtG1a1eSk5PzeYWr13vvvUdcXBxNmzbN8/yuXbuIjY39y/ssXux92Dp8+HDf5AZApUqV6NChAydPnvzb7xW5MB68qTtbR8+iTnRllu5Yn2eZoTfejsVk5uXvZvgmNwBe/m4GKRlpDLq+s+9Yz+vaEhkSxltL5/gmNwCmr/7q/+zdd3hUxdvG8e/2TYck9F6kI70KCqJUK0VBEVAUUIrYQMWC2BsWQNpPEFEEVEDEDtKVKk1a6C20QHrb+v6xYZM1G9srYOL9uS4udXbO2TPDOCc5c5552HPqMANadcNo8E2VVWLKArDtuG9blfjks5xNTaJKbBn/ccPb9cJusfLG0qKzvUfsXf2ouWgxITVrkrru5wLr2WvUICsu7g/PZy1XHlfieVxnfeH7mXt2+8rLl/fXKTVkCM6zZzi/sGi+AX+B6co2eFITcS4P3FLDtWkZnrMnMNVqCgZfVjNj2ap44g8GO00AY0xpvGnJeJPPAeA5vt9ffoG1052+xY913/5TTfnXCWndHnfSedIWzgkoz1j+Dc74Y9gbtwKDgfCuPTCYLaTMnRHwACdl7gw86amEdb7FX2YuVRZPciKe876IGccBXzSguXTuVkFRfe7FfT6B9O+L6JvEgK3ZNXiSE8n8JjC6Knvt97hPHcfaoAUYDNiaX4PX4yFj/rSAes7dW3Hu2oK5UnWMxWMBMJUsizclyR+N5MrZvspUMnd+Db11AJ7EBLJWFM2oowuK9bmLSp8swnZFTTI2rvvTx4U0aU6xXneQsWk9yQs/9ZdbypXDnZSIO+EsANlxe3LKc+fcmIFDcJ09S/KXC/+hVvw7meu2xpuWhGtNYDvdW5bjSYjHVKOxf879LWO1K7G0vhH3gW2480RhGIqXgvRkvDmRnJ74A77y6Nw513xtH9/ix6bv/+km/WtYm16NJyWRrO8CI4AcP/2A+/RxLPWbg8GAqVR5PCmJZC4J3Hoy++elAFiq5y7qmUr45gVvku9+5jrqmxeMJcv664TePABPUgLZq76+KO36NzDVaeUbtz8HRq65t6/Acy4eY3XfuDWW8/1u49qyNGALJfcm373eWD73xSBD8dKQngKpvnHrPeX7+cJYPHfcWq7pjTf1PO4tP1ychv1LGUwmyt7Siexziex86s2Az3aNewdnShrVhw8AIKxyedL2H8aT5YuGS9rmm19DK+fOr3WeHUnCmo2c+fGnS9MAERGR/6BCF8ExYcIETp48yeOPP87dd9/tL1+8eDGPPfYYr7zyClOmTCE+Pp53332XRo0aMXv2bCwWCwDvvPMO7733HvPnz6dv374B587KyuLpp59m8eI/fijhdrt5/fXXmTlz5t9qx7Fjx5g0aRJNmjThww8/9D88Hz9+PFOnTuWzzz6jT58+AKxcuZKvv/6arl27Mn78eAw5v3h9/PHHjBs3jhkzZvDII8H3Zf8v2rNnD9OmTWPw4MGkpKTw00+BP0yeOnWKpKQkauZsp/N7unTpQpUqVahSpUq+zy5EbWRkZOT7TC6ekdf25sj5kwye8yo1SlakQ61m+epcfUVDAFbu2xJQnu1y8PPBHXSu24pIexgpWen+usvjNuc7z4q4XxhydXfqla3K9hP7ScxIBSDcFkJ2Tvh+uC2E5Mx0ACLsoYzq2Jc3l35CUk7doqBEv/444uM5PvZZbJUrE9GyVb46llKlMBcrRmbc3j88nzslBWNIbpSaKdy3DYg71ddnlrLliO7Zk2NPjYECorCKBIMR5/dz8LpdAQ8iLvC6nBgtVjCZMYRHYQiLxH3ijxc4vJlpGKz23K+xh+WU+8apIboU5tZdyf74DfB4/qHG/MsYjbkLFkH6FqcDg9UKZgu2+o0ByN6xOV+d7N07CGnaGkNoON6MNDxpqRjsIblfE+rrW0+6bxs7U6kyhHW+lfNvPQeeIjp2DUYyvvgQr6uAcet0YLD4+jZr2SIMG4vjzcx/n7wQJWCw++YCT3oq2PKM25CccZvhG7fGEqWxX3sjqVNeKrp9m6N47364TsVz+uWxWCtWJrRZyz91XImRo/C63Zx548WAcndKCsa84zbMN+d60nxzrrlMWaJu7smp558q+nPuj3N94yfYvOByYjD75txgkQDWGwbh9bhxLPpNdHdmGuSZc7H5xrQ3K2fOLV4Kc/POOD59q+jOuQYjmYtnF3w/czr980LG3PfImJs/Qt5UphIAnuTcF7c86akYbLlj15Dzs4M3wzfnGmNLY2t3A2nTXy6684LBiHPl/ILHrduJwWzxjducHBuGqJKBp4iMAcCbkewv82algTXPNr2/HbfFSmJq0hHnoneK7rgtgK1ENJaIMM6u+hV3ZmBOGE+2g7R9hynWqA7miDAcSSmEVMhdiLdE+u5drmTf/BrdqjGlO1/Dyg53XLoGiIiI/AcVugiOpUuXEh0dTf/+/QPKb7rpJipWrMiaNWvweDzMmzcPl8vF4MGD/YsbAEOGDCE8PJxPP/004PiffvqJbt26sXjxYtq0afO717Bjxw5uueUWZs6c+Yd1CzJ37lzcbjdDhgwJiAy4//77CQ0NDbi+/fv3Exsby6BBg/yLGwDdunUDYOvWrX/rGooit9vNk08+SaVKlRg8eHDQOhfybzidToYOHUqrVq1o1KgRAwcOZPv27QF1O3fuzMiRIwPGEPi2wFq50hcaX7169YvQEinI4I9foeGL/fIl9s6rWmw5TiWfIy07/0O1wzlJm2uUquivC3AwIf4P664/7As1H93pLsJsIQxvfxvh9lDWHtgGwMMd7sDr9fL2j3PznaswOz72WeK630LG1i0F1rmQf8NgNlP53QnUWb2Wehs3U3Xa/wipXz+gbsa2bZjCwojtexfG0FBK3DPQ95Z3zlxWeugwHEeOkLRkycVr1L+B14NzxQJcq/MvqhtKVcBYqgKesyfA5cRYtqqv3GTGft9zhL78GWFvfIl96CsYKwUu1roP7cZgD8Vyza1gtWO57ja8Hg+eQ7sAsHbtj+fsCVyb/l70YaHg8ZD2xSekLfk030fm8pUxl6+MM/4YOB2Yy5THfT4h6EN492nfvGAp75sDsvfswBgaRvjNvTHYQ4jo1R+vx4Njt+/eEdV3MK74o2QsL8J7lXs9ZH4zn6wf8kdXmcpWwlSuki//htNB1vIlZH6RfyslQ0QUlloN8GZl4D7rm2dd+37FGBJGSOdeYAsh9MY78Ho8OON8eSTCeg7EffIY2WuL7hvwF5x+eSxH7uxO1vY///NdRKdu2GvVIfXbJTgO7A/4LOvXbRjDwih2e18MIaEUv+sevB4PmTt8548ZNBTHsSOkflv051zX2i9w/Zy/nYYS5TGULI8nIT7o4oapYTuM5arj3rLcvzXVBZ6jezDYQjFfdbNvzm3XyzfnHvFFJ1qu74s3IR731iK8977XQ9b3n5K9LH8EkLFMRUxlK+I+fTwgb8YFhrAIrK2uJ2zAw3jSU8lalju3uA7sxBASir1jT7CFENLVNy+49vvmhZDu9+A+dRzHz0U4wsDrwb1uMe4N+SPXDLHlMcSWx3PON25dO1bizUzD0r4PxiuagsWGoWx1LDcNw+ty4lqfew7PMd+4NbW8Eax2zG16+MbtMV8Egrn9nXjPx+PevuJStfRfw53tG6dGW/AtiC1R4RiMRkIrlOX8hq1E1a1B2ZuuwxwRRvXhA3ClZ5C03ff/f92xIzn9/WrO/ZT/RSoRESkcTAZDkfhT1BWqCA63283gwYMxm80Yg2R5sVqtOJ1OnE4nGzf6tq5p1izw7W6bzUbDhg1Zs2YNqampROQky128eDHp6em8+OKLtGzZkg4dOhR4HUuXLuX48eOMGjXKv0XWX7Vp0yaMRmO+6wsJCaFBgwasW7eO9PR0wsLCGDhwIAMH5t+z8+BB35u8MTExf/n7i6r333+f3bt3M2fOnALzYlxY4Jg7dy5t2rShe/fuHDlyhB9//JH169czefJk2rZt+7vfM23aNE6cOMHVV19NmTJlfreu/LO+373+D+vEhEVx6Fz+BQvAH21xITl5THgUWc5sspzZ+etmBdbdcWI/E1d8ymPX9+Wx630RYPM2LeWbnT8THRbJQx168/zXM0jPzgTAYDDgDfa2XSGTunbNH9YJqeF7yB7buw8pq1eTuHAB1kqViGp/LdWbN+fw0Af850lZsZzk5csp9+QYyj05BoAz7/+PrP37sFWpQvEbb+TIo4/kvqloMAR/a7GoMhiw9RqOwWjCkZMA3FjOt8BhaXsTrl0bcK37DmOJcpjqtyZkZAOypj2Ne/cmANy//oxrx8/Yeg3D1msYAI4f5uE5eRhDqQqYm11H1swX/pv9azBQfOhoDCYT6V/7HqIZI6JwnT4RtPqFyAxDzhvvWetXkbluFcXvH0Xx+0cBkPLpLJxHDmAuX5nQa7ty7uUn/rN9G373wxiMJjL/IAF4+J3DMIaGkfn9Av/DZMcva8nevIbwAQ8RPuAhADIWf4T7+EFMZStha9OJlHef/U/0bca6tX/5mOJ3DgDg/Ef5I4vTV68gbfVySj76JCUffdJX78P3cRzYj6VSFSI738jJMY/+J/o2KIMBa05uDef64NscWa7uAYBz5ef5PnPvXo971zqsN9+P9eb7ffVWfIr39BFfAvNG1+KY8/J/s38NBsL6+eaFYAnAbdd0I/zeJwDwZmWQ8tojeM7k/vzm3LIWx5a1hN01krC7RgKQ+dXHuI8fwlimIrbWHUmbNPY/27eWG+7HYDThytmCipRzZL8/Gutto7D1e85f1ZuRiuODMXiP50bZevZuwL1nPdZuQ6DbEACcqz/De+YIhtjymBq0x/Hpq//JvnUmJpN+6BjFrqxNaKXyZBw57v8sonZ1wqr4cn6aoyI4PGM+le68lZbzJgHgdbvZ9uiLOBISKXlta0pc3YLlbXrmnvw/1I8iIiKXUqFa4DCZTPkiNy44cOAABw8epGLFithsNo4ePUpsbCzhOVuf5FWunO+N7UOHDnHllVcC0LNnT5566inCw8M5fvx4vmPyuu666+jXrx8xMTG4XH8v4drRo0cpUaIEISEh+T4rV64cXq+XI0eOUKdOnXyfp6WlsX79el588UWsVmvAVl3/ZYcOHWLixInccccdNGrUqMB6Ho+HcuXKMXLkSG66KTcXw4YNGxgwYABPPPEEy5Ytw2azBT1+0aJFTJw4kYiICJ555pl/vB3y/2cxmckuINHkha2l7GbrH9d1BtYFGD7vTRZuXUnD8jXYdeoQ3+705aQY3bEf6dmZTFr5OSUiijOr/zNcX6sZ5zNSeP7rmUxckf9N8iLFaMRx4gQn33krIPIirGkzqs2YSYUXX2J3x+vw5uQ/Ojz0fiLbt8dWqTIZO7aTvtn3Zlvp4SPIjNtL8vffYa1YkYqvvEbolVfiPH2K+NdeJfm77y5L8y4lW++HMNdqgvvIntzcHAYjnnOncHw5IyDywlj9SkKGv4Gt72NkPNvX/7A4a+pTmOq3wliiPO4je/Ac8EU8WbsNwBN/EPfWVRhiy2Lv/wTGSrXwJp0le+EU3FtWXfL2XkrFR4zB3qgFjridpC7KyZNjNheYVNmbMwcYLLn3g4SxI7G3vBpL2Ypk792JY6cvsimq3xCch/aRuWYZ5jIViB71PNaa9XAnnCZp+ltkrl56cRt3mYXfOxpr/WY4D+wm8+t5BdYLvXUA9nbdcJ89Sfq8qQGfpbw+CmuTNphKV8B1YBfOPb7ouNBe9+I6egDH+uUYS5UjcuizmKvXwXP+DGmzJ+BYX4TfjP8T7A0aY69dl/Sf1+DYHzwPUvzDQwm7uj3WCpXI2rmDzK2+OTd28HCy98eR9uP3WMpXpPRzr2CvdyWuM6c5+/ZrpC0r+nOutfsITFc0wn0sLmhycWPluhjLX4F772a8pw4FPUf2B2Mx1WmJIbYsnqN78eREfFo69sN76hDuHWswxJTB2nsUxgo18SYn4FwyHfeO1Re1bZdb2N2PYa3XFNfB3WR9Oz/f5560FDK/nouxWDTWptcQOepNUt99CueODf46qeNHY2l0lX9ecMX5IuZCe9yL+9gBHBtXYCxZjvAhT2OuVgfP+bNkfDIRx4aiPS9YbhqGqVpDPMfjcnNzWGxYrr0TY8lKuA9uwxN/AGNsOYw1mmG5aRiOD5/Bm3zWfw7Hx+Mw1mqBMbosnhNxeI74xq25Q1+8pw/h2bkWQ3QZrD0ewVC+Jt6UBJzfvo9n5x+/+FLY7XtnBg3ffpZWn73HlhFjSd6+h2INatNo0vO4M7Mwh4dhMBjwZDtY0b43ZW++jpAyJUlYvZGkrb6I2TpjRxK/+AcSN++geNP6NJ7yEpG1q5Mad4itI8aSsHrDH1yFiIiI/FmFaoGjIB6Ph+effx6Px8Ntt90GQFJSEuXzJKzN60LURlpamr+sadOmf/r7/k7Exm8lJydTtWrVoJ9duL7U1Px7+K9evZp7770XALPZzNtvv02DBg3+39dT2Hm9XsaMGUNMTAwPP/zw79YdMmQIQ4YMyVfevHlzbrzxRhYtWsSGDRuCRnHMnz+fZ599FqvVysSJE6lQocI/1gb552Q6s7GaLEE/s+UsVqQ7fFEWmY5srJHBp0KbJbDuBT/u3cSPezf5/7tUZDTD2vXksQUTyHJm80G/p6lbpgo9pj3BleWqM+H2R/g1/gAr4n75f7ft3+rMtKmcmTY1X3n6po0kLllC9C23EN6seUA0SMrywIcP9lq1iOrYiUMP+N6ArfjqaxjtIRy6fzCRV7ej0mtvsGfPXhxHDl/Utlw2RiO2Ox7B0rIznrPxZE17xp/02vn9HJzfz8l3iGf/dlyblmFp0RHTFQ38URwA7h0/k3dHcmO5apgbXk3W1KcAsPd/Aqx2sqaMwVS3BfYBY8g4cRDvmd9f5C+UjCaiRz5NWMebcMUf4+zYhyDnBQWvI9u3f3kQhpw5wJsVOAdkrVtF3l25LVVrENLmOhLG+t4wjh71Aga7nYRnRmBv3paY0S9y6mAcrhNH//m2XW5GExGDHvctWpw+QcobowOStecV2utewnrcgyclieRXH8Wbnv/nHMfmwAdnpkpXYGvRnpTXfREzkcOexWC1k/Lao1gbtSZy+HMkHt2P++Sxf75thURkN9/LGsmLPvvdeumrlpOe579tNWoR3qEj8Q8/AEDpca9itNs58dD9hF91NWVeeI3D+/bgPHok+AkLO6MRa4+RmJt1xHMuHsessUHHrrmJL6rbteH3t55z7wpMCG8oUxVT/TZkfzAWAGvvURisdrJnPoOpVnOsd4wm682DeBOCR5AVakYTYQNHYb86Z1546/GgfevcvBrnZt8ij6lSDaKemUz4kKdJfLgXZOfOss4ta8m7DG2qWB1rs3akjh8NQPj9z2Cw2kh9cxTWhq0Iv/9Zko7ux3OqCM4LRiOWm0dgbnw9nvMnyZ7zvL9vLV0HY6rTGud3M3CtyY02MtZpja3PGKy9nyB7auDvSZ4968mbYcNQuiqmOlfh+HgcANaej4LFhuOjsZhqNMPa6zGyTx3EW0CkdFFxcOocwqtXptoDd9Hux0/85Uc/WUzCqg1UHdQHd4bvZwOv08mJzwLnhzI3dKB4k/osa34zBrOZFp9MIG3/EdY+fh+VB/Sk5byJfFfnOpxJKZe0XSIiIkVVocvB8Vter5dnnnmGn3/+mXr16vkjPFwuV4FbFF0oz87OvyXNpeD1enG73X/r+mw2G/3796d79+7YbDYeeughFi3K/7bZf83HH3/M5s2bGTt2LGFhYX/7PBciZoJF8UyYMIGnn34au93OlClTaNnyzyX9lEsvMSOVqJDg4+BC+YWtqhIzUgmx2rEGecAZZQ+sW5CnutzNmdREpq/5gmKhEfRo1I7Xf/iYxdtX88I3M/nl6F6GXtPzd89RlGXu8r0RaC1f7nfrlRkxkozt20ldtRJ7jRqENWjIqXfeJnX1ak688hKulBRichaxixyLDfug532LG2eOk/nuI3iTz/2pQz3H9gFgiCn9u/WsN96D58ge3DvXYyxbFVOVOji+nIF71wYcn0/Cm5GK5apu/++m/NsYbHZix44nrONNOI8f4czowXjOJ/g/96Sm+JMu/5Y/GXNGWtDPL4jqPxTH3l/J2rAGS5UrsNWuT/IHk8ja9BNJU97Ak5ZKWJfu/1yj/i2sNiIffRV7u264Th4ladwwPIkJ+esZjIQPety3uJF0nqQXRuA+HvxN+N8Ku30Qrv27cGz5CVPFaliuqEf6vKk4tq4jbdY7eNNTsXe4+R9uWOES3qYdnswM0tf+tQismCEjyPp1O+lrV2GtXoOQ+g1ImPwOGT+t5sz4V3CnpBB1a9Gdc239x/oWN84eJ3vqaLwp54NWNdZugdeRhXvPxr/0FdbO/fEc24tnzwYMpatgqlQb57cf4Nm7CeeXUyAzDXOLLv9Ea/5drDYiHnrZt7hx8hgpL4/Am/TH9zP3kTiy136HMbI4lur1frduaM/7fFFe237GVKEalup1yfhsOs7t60j/6F28GanY29/0u+colCw2rHc841vcSDiBY8YTkJozbg1GTA3a40k8FbC4AeDZ9RPuuI0Yy9fEUOL3X86yXHcX3uN78cRtxFCqMsYKtXAu/RDPvs04v5kGmWmYmhbBcRvE9sdeYlnzm9k+6iW2j36ZH6/qwaZ7HsMaWxyArDNB7nc56jzzIMc/+5qUnXGU7nQ1oeXLsP3RFzmzdA1bhj2DOSKMCr1vvFRNERGR/wejoWj8KeoKdQSHy+Xi6aefZsGCBVSoUIH33nvPvzhgt9txFrDlhCNni5Rg20NdCgaDAYvF8ofXFxoamu+z5s2b07x5cwAeeOABevbsydNPP02rVq0oVarUxbvof7nvcratGTRoUNDP+/XrB8CyZctITk4mIyMjX/4TyF1Uyrs9ldfr5dlnn2XevHkUK1aMadOmKWrmXy7uzFGuuaIRdostX26NKrFlcXvc7DtzzF+3TfUGVI4pQ9zpo/nqAuz9TULRvCpGl+a+q27mgbmv43S7qBpbFrPJ7D//he+omZOovKgKqV0HY2go6Zs35fvMaLcD4MnOn1z0gtAGDYls144D9wwAwFapMgDZF6I13G4cx49hK4pRUyHhhDzwMqbaW6WjAAAgAElEQVQqdXAf20fWpMfxpiUFVDGWvwJsdv9WUwFyogwo4J4CYKxSB3O9lmS++ygAhpK+xSbP2ZzFXI8Hb8JJjDljvqgwhEdQ4vmJ2GrXx7F/N2fHDMOTnBhQx3XiKLb6jTFYbXgdgfOFqXQ5vG7370ZeWGtfSUiLtpx53BcZaC5bwX9eADxuXCdPYC4TPKq0sDKERRD1+JtYrqiH89Bekl9+GG9KYv6KZguRI1/A1rQt7jPxJL800peE/E8wX1EPW+OrSHphOACm0r6+9R/vceM+cwJTyd9fPC3KbLXqYC5RktQfv8ebnfXHB+Sw129AeNt2HHvgHgCsFSoB4LgQreF24zxxHGu5ojnn2u55HlOl2nhO7Cfrf2MgPTloVUO56hgjY3DtWANBcnUVxFixNqbaLcia9rjvv3PmVs+FaA2PB8+5kxhiilYeN0NoBBGPvYGlel1ch/eS8vojeFMC72fmmg0whEXg/CX/Nkeec6d954mIKvA7zNXrYm10FckvPwiAqZRvbnVfiNbwuHGfiS9684I9HFu/5zBWqIUnfj/ZHz4TOG7DojBYrLlj7Dc8Z45iqtEMQ1RJvGeDR7YYK9TCVLM52TN9uXoMMb5x64/W8HjwJp7CGP37L1QUJSk740jZGbj1X/HG9XAkpZAVfyboMeVv60ZE7Wqsv2MEAGHVffNr2v7DADiTUnAkJBJWtWj/biAiInIpFdoFjszMTB588EFWrlxJ5cqVmTlzZsAD/sjIyKBbPEHu1k8XtoK6WGbOnBmwDRZAy5YtadasGVFRUX94fcHyh+RVoUIF7rrrLiZMmMDatWvp3r0Ivh36J916663+hZ+8Vq9ezbZt27j11lspV64ckZGR9O3bl9OnT7N27Vqio6MD6m/OyQNQr17um2OvvPIK8+bNo1SpUsyYMYPq1atf3MbI/9ua/du4tmZT2lZvwA+7c/e3tZmttKxSj53xh0jLzvDXvaf1jVxzRaN8CxztajQmKSOV3acOF/hdz3YbyJHzp5i1zpeY1Gw05/zT5K9jN1uLfD7ByhMnYilZip1tr8KdFPgwI6xxEwAyf/21wONLPziS1HXrSFvn2+LDYDLl/DP3NmW02YpE0vYAZgshQ170LW7s20rm1KchKyNfNfug5zAUiyX9iZ6QHridgamab9tEz9G9+Y67wHrDPbj2bsEd58sXYcgZnwajCX+PWqxFK/GlxUqJ597BVrs+Wds3kTD2IbwZ+aOxsnduwd6wGdZ6jcj+ZV3A8bZa9XAePYg3M//fyQVR/YeStXUj2Vtz5pqcMXthDAMYCojYLLQsVqJGvY7lino4dv1CyuujCuyjyOFjsTVti+vYQZJfGhk8wqMAYbcPxvHrZpy/+u7N/j7NM7/6thErQuP2L7LX971wkbkl/+Ly74m9/0EyNq4jc2POmDfnzAnmPH1rs+Etan1rtmC7+zlMlWrjPrDdt31UdsH/f5sq1gbAczDI4vLvsHTuj3v/Vjz7t+acKPjYLUpTLhYrEY+8iqV6XZy7t5A6fjTeIPez8HsfxxhbhsRhN+bbps5U0fcztvt0wdt2hfYahHPXZly7NuccdOHnhcC+9RSlzjVbsPZ9FmOFWrgPbfdtH5UduHUiWWl4XU4MMcEXdowXFivSgixEX/ia6/r5cncc9OU/uvCzQt5xi7mI3c8K0GzWm8S2acY3V7QDT+4mXlENahNWuTzHPw++ZZ3BZKL2U8M5+vEX/gUNoznn5wKzGXJe9jHabUXrZy4REZHLrFBuUZWcnEz//v1ZuXIlderUYc6cOZQtG/jWaeXKlTl37hxZWfnfZjtx4gRGo5FKlSpd1OucOXMmEydODPizceNG//WdOXPGH62R1/HjxzGZTFSs6HurY/v27Xz11VdBv+NCuxMTC/5h9b+ge/fuDB8+PN+fC5EWt956K8OHDycyMpLOnTvj8Xh46623Ah6WfvPNN6xYsYJmzZpRo0YNwBfx8cEHH1CsWDE++ugjLW4UEh9v/A6X28XYbvcGbD31ZOf+RIWEMy1PEtFF21aRkpnOqOv7Ujw00l9+d6sbqFmqEv9bu7jAh+pXlKxAvxZdGPvV/3B7fNkO9p05htvjpmVV3yKZyWiiaaXaxJ0pgnvv55H03XcYTCbKjAzc2zmqUyci27UjbeNGsvbvC3pseMuWRLRsyal33/GXZR32bV8TmvP/sCkyElulyjgOH744DbhMrDfdi6laPdwHd5L53hNBFzcAXFtWYTCasN00MKDc1OhqzPVa4t63Dc/Jw0GPNdVohLlmIxxLZvjLPKd9b28aK/u25SMkHGPJ8niKUP6NYncPw1a3Idm7tpHw1PCgixsAGcu/wet2EdV3MFhy54vI3vdgDIsg/esFBX6HrWFz7A2bkTxrkr/MdfwwANbavoUnQ3gE5nIVcR0vOnkMwnoPwVLzSpxxO3yRGwUsboR07oWtRXtcJ4+RNG7oX1rcsNRrgrVeE9Ln5+b2ccX75lHLFXUBXxSJqUzF/3T+DXsN3wP4rF0FLyD/VkizloQ2a0nClHf9Zc6caDl7Pd+ca4yIxFqxEs6jh/+xa/03sHS+G1PlurgP7yL7/ad+d3EDfLmLADzHgydvD3pM9YaYqjfE+d0sf9mFudVYyff3RUg4hthyeBOKzpwb2msQlhpX4ty3wxe5UcD9LHv9cgxmM6G9BgeUWxq0wtr0GlxH9+M+tCfoseY6TbDUaULGZ9P9Ze6TvnnBXC1nXgiNwFS6QpHKv2G5rj+mSnVwH92N48Nn8y9uALicePauxxhdGlOLwK2PjNUaYqzZHM+Zo3hPHQz6HcaqDTBVbYBr6Wx/2YVoEGOFmr4CeziGmLIFRokUJal7DxJSthQVbrvBX2aODKfxey8AEPfm9KDHVex7K2GVyrHnpdyfC1LjfH0e3dw3v4bXqIq1WCRp+w5fpKsXERH57yl0ERzZ2dkMHjyYbdu20bx5cyZPnhw00qFJkyasX7+eTZs20aZNm4Djt27dSvXq1f8wQuL/a9WqgvdCbtKkCZs2bWLz5s20atXKX56Zmcn27dupWbOmf4uq119/nQ0bNlCrVi2qVasWcJ49e3y/AFxYDJE/9sADD7Bq1Srmz5/P3r17adKkCYcOHWLFihWUKFGCl19+2V/37bffBqBWrVp88cUXQc/XtWvXfH8vcnnFnT7KG0vn8Hinfmx58kO+3L6GumWrcEP9NqzZv43pa3P/LhMzUhi1cCJT7hjN1jEfMn/zMsoVK8FtTTqw9/QRXvp2VoHfM+7GQew5fYS5m34ION+ibasYdX1fYsKiqFO6MuWLl2TC8k8vapsvt9OT3yOybVtibrsNe80apP/yC7bKVYi85hqcZ85wbMwTBR5b+sGRpKxaScbWLf6yrD17yPj1V8qOfhx7jRqEN20KJhPn5s+7FM25JAwRxbG09e0R7jl1FOv1vYPWc3z/CY5vZ2Ou0xzLVTdgLFsV98FfMZasgKluCzzJCWR99HqB32O98R5cO9fjObTLX+Y5cQD30b3Yug/BWLYKpur1wWDEuXbJP9vIy8RYPIbwG3y5A5zHDhFx24Cg9VLmzcR1/Aipn80m8va7KT3xEzLXr8JSqRohLdqSvXMLad8WvMAR1X8omRvW4Ni93V/mPBiHI24Xxe57GEvl6tjqNcZgNJH29ecFnqcwMURFE9LRFzHqOnGY0JvvClov86u5hHYfAID76H5COgXPQ5T5w0K8yflzH4TdPpjsLT/hist9cO8+sg/ngd2E3TXCl4+jVkMwGslc+t/NRWYp79tCynnszy+ix97/IOlrV5G1fau/LDtuD1m7fqXEyNHYqtcgpFFTMJpIWjD/H7/myya8OObWvoeV3jPHsLQPnl/EuXweuHxb/l3YQsqT8OcTKls69ce9ZwOeI7v9Zd6TB3Efj8N6w324SlfGVKUeGI24cqI/CztDVDT263zzgjv+CCE39A1aL3PJR2QumY21UWvsHW7BVLEarrgdmEqXx9KoDd70FNImP1fg94T2GoRj28+49uWZF47ux3VwD6F3Dvfl46jZAIxGspYH/7m90AkvjqlFzrg9ewxz2+BzqWv1pzi+noatXA2sNwzBXasFnpMHMEaXwVi7JTiycSwYX+DXWK7rhztuI55jecbtqYN4TuzD0vk+jKUqY6xcD4wm3BuDRy8UJfsnfEClu7rTZOqLlLzuKrLPnqPsTdcTXrUiu557h6QtO/MdY7BYqP3kAxye+RkZR3MXgU7/sIaM4ydp9v5rHPv0K8p0u5bshESOzfvyUjZJRET+JtN/IH9FUVDoFjjGjx/Pli1baNSoEdOnT8ees7f7b914441MnTqViRMn0rx5c39ujilTppCWlsbtt99+KS876PVNnz6dCRMm0KRJE//1TZ48mYyMDG7Lk0i3S5cubNiwgTfeeIOJEydiygnB3r59O3PnzqVEiRK0bdv2srSjMIqMjGTu3LlMnDiRH374gdmzZ1OsWDF69uzJiBEjKFmyJODbKiwuzvfG3rp161i3bl3Q89WuXVsLHP9CTyx6j2OJp3ng6h48eO1tnEo5z/iln/DcV//D4QrMVTB19UISM1IZ1bEvQ6/pwfmMFGat+5oxX0whMSMl6PmvLFed2xp3oOf0J/NFeAyc/SJT73ic/i27ci4tmYGzX+Sng9uDnqeo8KSmsu+OPpR+YChR119PbN++uBOTOP/5Z5yaMAFXwtmgx0W2a09Yg4bE9eyR77PDI4ZRYdwLxNzeG2d8PEdGPojjRNF5a9BYpU7O9jpgaV1wwk7H8s8hM52M8cOxdumHuWFbLNfcijc9GdfP3+D46oMCk+Oa6rXCVKUOGa8OyfdZ1rRnsd35CJY2N+BNPEPW++Pwnjv1zzTuMrPVqu/fFiq80y0F1ktd+DFep4PkmRNwJ5wm/IZeRNzSB3fiOVIXfETyR9MKzG1ib3E1ttr1OTXsznyfJYx7hOIPPUN41564zpwk4cVRuE//+Qek/2aWK+r5x21I+4ITpGZvXIUx0peI1daiPbYW7Qus5/7NAoe18VVYrqhH4hN356ufMv4JIgY9Qch1t+BOOEXKW2PwnD35d5tT6JmiiuHJzsadGHwO+K2wtu0Iqd+AI3flf0gaP2oEpcaMI6r77bhOxnPy8ZG44ovOnGuqVAtDzvY65uadCqznXL0wd4EjNBKv01Fgjo5831G7BaZKtcl8Z1i+zxyzxmHt+RDmll3xJp7BMftFvImn/0ZL/n3M1ev65wX7NTcUWC/ru/l4M9JIfv5+Qm+9B2uzdtg79cKblkz26q/JXDjTn4fjtyyNrsJSvS5JTw/M91nqO08SNnA09mtvxpNwmtQJTxeZecFYoSaGnGhkc5OOBdZz/fwFpJwje8pDWNr3wVizOeYq9SEzFfeOVbiWz8nNpfHb76jZHGOFWmRNfjDfZ445L2C5ZQSmZl3xJp3BMfclvElFY9z+HldqOiuv7UO9Fx6lZPtWmMPDSNkZx69Pvkb8Fz8EPabKvbdjKxHDnlcnB5R7srL56ZZBNJo0jqqD7yR19342DRyFKzV4ZKmIiIj8dQZvIdrQ/OzZs7Rv3x6n00mPHj0oUyZ4Yr5BgwZhs9l44403mD59OtWqVaN9+/bs37+fFStW0LhxY2bNmuVfVPit48eP06FDBzp06MB77733u9fkcrmoW7cudevWZcGCgt/yDObVV19lxowZXHHFFbRr1469e/eyatUqmjVrxowZM/zX53K5GDhwIOvWraNWrVq0bt2aU6dO8cMPP2CxWJg6dWrQ/BMi/waG+1te7ksosrauTPrjSvK3VLu2iCUn/RdJ3P/f3lLxYrIXC/7Sh/wzEg9ozr1YyrdXJPLFknky7Y8ryd8SWrngZOjy//PNG/sv9yUUed0zC87dJiIiuSbvuP9yX8I/4v76k/+4UiFWqCI4tm3bhjPnTcrPPy94q4f+/ftjs9l45JFHKFOmDHPmzOHDDz+kRIkSDBgwgGHDhhW4uHEpjRo1ijJlyvDJJ58wa9YsSpQowT333MPQoUMDrs9sNjN9+nSmTZvGl19+yezZswkPD+f6669n2LBhih4QERERERERERERkf+cQhXBISKFjyI4Lh5FcFw8iuC4eBTBcfEoguPiUgTHxaMIjotHERwXjyI4Lh5FcFx8iuAQEflzpv5aNCI4Btcr2hEcxst9ASIiIiIiIiIiIiIiIn+VFjhERERERERERERERKTQ0QKHiIiIiIiIiIiIiIgUOoUqybiIiIiIiIiIiIiIyMVmMhgu9yXIn6AIDhERERERERERERERKXS0wCEiIiIiIiIiIiIiIoWOFjhERERERERERERERKTQUQ4OEREREREREREREZE8jErBUSgogkNERERERERERERERAodLXCIiIiIiIiIiIiIiEihowUOEREREREREREREREpdJSDQ0REREREREREREQkD5NycBQKiuAQEREREREREREREZFCRwscIiIiIiIiIiIiIiJS6GiBQ0RERERERERERERECh3l4BARERERERERERERycNoUBKOwkARHCIiIiIiIiIiIiIiUuhogUNERERERERERERERAodLXCIiIiIiIiIiIiIiEihoxwcIiIiIiIiIiIiIiJ5mJSCo1BQBIeIiIiIiIiIiIiIiBQ6WuAQEREREREREREREZFCRwscIiIiIiIiIiIiIiJS6CgHh4iIiIiIiIiIiIhIHkaDknAUBorgEBERERERERERERGRQkcLHCIiIiIiIiIiIiIiUuhogUNERERERERERERERAod5eAQEREREREREREREclDOTgKB0VwiIiIiIiIiIiIiIhIoaMIDhGRQqpkzajLfQlFVvKRlMt9CUWWyaYfPS6WrKSsy30JRVp0jeKX+xKKrJSDSZf7EoqsiAoRl/sSiqwvXtp/uS+hSLNaL/cViIiISGGhpwwiIiIiIiIi8q/RPXPv5b4EERERKSS0wCEiIiIiIiIiIiIikodycBQOysEhIiIiIiIiIiIiIiKFjhY4RERERERERERERESk0NECh4iIiIiIiIiIiIiIFDrKwSEiIiIiIiIiIiIikofRoNiAwkB/SyIiIiIiIiIiIiIiUuhogUNERERERERERERERAodLXCIiIiIiIiIiIiIiEihoxwcIiIiIiIiIiIiIiJ5GA2Gy30J8icogkNERERERERERERERAodLXCIiIiIiIiIiIiIiEihowUOEREREREREREREREpdJSDQ0REREREREREREQkD+XgKBwUwSEiIiIiIiIiIiIiIoWOFjhERERERERERERERKTQ0QKHiIiIiIiIiIiIiIgUOsrBISIiIiIiIiIiIiKSh3JwFA6K4BARERERERERERERkUJHCxwiIiIiIiIiIiIiIlLoaIFDREREREREREREREQKHeXgEBERERERERERERHJw6jYgEJBf0siIiIiIiIiIiIiIlLoaIFDREREREREREREREQKHS1wiIiIiIiIiIiIiIhIoaMcHCIiIiIiIiIiIiIieRgNhst9CfInKIJDREREREREREREREQKHS1wiIiIiIiIiIiIiIhIoaMFDhERERERERERERERKXSUg0OKlMTERCZNmsSKFSs4c+YM5cuXp3v37gwYMACzOXC4L1q0iA8++IDDhw8TGRlJly5dGDFiBGFhYfnOu2LFCiZPnkxcXBx2u5327dvzyCOPEBMTc6maJkGUiYpl97NzeXbJdN75cV6+z+9q0YWHOvSmRsmKJGakMn/zMp5ZMo307Mx8dbvWa81TXe6mXtmqZDqz+XL7Gp74YjJnUxMD6rWsUo/JfUZRo1RFfo0/wMhP3+bngzsC6lhMZuKe+5TPtyzn0c/f/WcbfRkYi0UT3vs+7E2uwhgVjSctBcf2DaR+Mg336figxxhsdmLfnUv2+pWkzHgr3+e2Zm2JHPAgxuIxOPfvImXa67iOHw48R0QUJacsJPXjyWR8/enFaNq/grFYDJF33IetaRtMxXz9m711AykfT8V9+kRA3ZD2XQm/+Q7M5SriTUshc81SUj6eijcrcEzbm19N1MAHMRaPxRm3k6Qpr+XrX2NkFKWmLyJl9mTSl8y/2M28LIzFYojocx/2prljN3vbBlLnTP3dsVti4jyy1q0g5f0gY7d5W6LuzunbfbtInhqkbyOiKDltIakfTSH9qyLat8VjiOo7GHvzNpiKxeBJTSZr6waSP5yM+1TguA3t0I2IW+/EXL4SntQUMlf/QPKHk/OP25ZXU+y+hzFFx+LYu5PESa/gOnYo8Hsji1Fm5mKSZ00ibXH+eb8oMERFE9pjINaGrTBGReNNS8Hx6yYyPvsfnrN5xq3NTugNd2Jt2QFTbGk8iQlk/7yUjMUfQnZWwDmtjdsQducwjMVicB7YTfoHb+KOPxL4veFRFH/7UzLmTyPr+88uRVMvC2OxaMJvuxdb4zz3tB0bSZs7DfeZ3P412EMJ63kP9hbXYIotjTcrA8furaTN/x+uw/sCzmlr2paI/iN8/bt/Fyn/ewP3icMBdQwRUZSYtIC0T6aQ8U3RvKcZIopj6dwPU+3mGCKK481IxRP3C45vZ+E9dyqgrqlWUywdemMsXx1cLtzH4nB+8wGeY3GB9eq2wnrzYAyR0XiO7iH7s4l4zxwN/OKwSEKf+hDH1zNxrf7iYjfzX6G3e+8f1vnx2rs4s3IDAFXv7UW9p4ZijgznzMoNbB46lsz4MwH1I2tVpfP2JazpPpT4JcsvynWLiIgUNsrBUTgogkOKjLS0NO644w5mz55N9erVufPOO4mIiOD1119n2LBheL1ef92pU6cyevRoPB4Pffv2pVatWnzwwQcMHDgQh8MRcN4lS5YwePBgzp07R58+fWjZsiULFy6kd+/epKSkXOpmSo4wWwgLBr9CVEh40M8f79SPDwc8i9FgZMKKT9l2fB8PX9eH74e/g8UUuNjVu+n1fDV0PCUjijN51UJ+3LuZAa268dOj0wLOb7fYWDj4VaLDIpm8agHhtlC+G/42pSKjA843qM0txIRF8sp3H/7zDb/EjMWiiX1tJmGduuM6fpj0r+bh3LcTe9tOxL7+AaYyFYIcZKLYQ+MwlywT/JzFYyn+6It4XU4yvl+IuUwFop95B6y2gHrh3fvjTU8l4/tFF6Np/wrGYjGUGP8BYV164Dp+iLQv5+KI20nINZ0oOT6wf8N7DiD64ecwGA2kL5mP89A+wm+5k5hxEyHPAq4xOpbo0S/hdblI/3YhprIViRk3IX//9hyAJz2N9G8XXrL2XkrGYjHEvjGTsM7dcR47RPqSuTj37STk6k6UeGNWwWP34ecLHrvRsUQ/5uvbjO8WYi5bgeix7+bv2x79fX37XRHt2+IxlHrnQ8K79cR19BCpX3yCI24noe06U+rd2ZjL5vZtxO13E/PY82A0kvbFXJyH4ojo3pcSL72Xb9zGPvkquJykf/055nIVKPHiRAy/6duI2wbgSU8l7ZsFl6y9l5IhKppi46YT0uEW3PFHyPz2U5wHdmNrfT3Fnv8fxlLlfRWNJqIefZ3Q7vfgSUwg8/vPcZ85Qegt/Yl6ahJYrP5zGovFEjF8HF6Xi6wfv8BUujyRo8cH1AEIuakv3vRUsn4sug+IjcWiiXl5BqEdu+M6cZiMr+fh3L8Le5uOxLw6E1Np39g12OxEPz+F8Fv64klJJOOb+WRv34Ct8VXEvDgdS80rc89ZPJZiD7+A1+Uk84dFvnvaU2/nnxdu7ee7p/1QNO9phoji2B+aiKX1DXjPHMO5aiGeo3sxNb6WkIcmYYgt569rbtkF++CXMcSWw7X+O1w7f8ZU7UrsI97CWKFG7jkjY7D1fwrcTlw/fYUhthz2IS/nG7vWDr3xZqbj+unrS9bey+3X5yYE/bNv8hwAsk4nkLLnIADFG9el+dQXyDhxmkMzP6dEmya0+XxSvnPWH/cg5zfu0OKGiIiIFDqFMoLj7NmzTJgwgZUrV3Lu3DmioqJo1aoVDz74IBUqBD6w+Ctv6V/g8Xi47bbbKFmyJO+9994fXs8DDzzAqVOnWLDgr/+yvWDBAmbNmsWRI0eIioqia9euDB8+nNDQ0N89bunSpQwdOpQHH3yQBx544C9/b1E0bdo0Dh48yJgxY+jXr5+//JFHHmHJkiWsXLmSdu3aER8fz7vvvkujRo2YPXs2FosFgHfeeYf33nuP+fPn07dvXwDS09N5/vnnqVChAosWLSI83Pew+6qrrmLMmDFMnjyZ0aNHX/rG/sdVjC7NgsGv0KRiraCfVyheinE3DuKnA9u5Zvz9uDxuAJ674T6e6TaQQW1uYdJK39upYbYQJt7+KAfOHqfRS/1IzcoA4Ptd65nR7yme6nI3jy2YAMAN9a+idFQMLV4dyIbDOxm/9BOOvrSIO5t1Zvwy3y+UdouNMV0G8O7yT0lIS7rYXXHRhfe+D1OJ0qTMfJv0xZ/4y+1Xd6L4Q+OIHDCCxJcf85cbwiMp/sgL2Bq2KPCcIdd0BpOZ82OH40lMIOunH4l99X3sjVuTtc73S7WxeCxhXXqQ/P54cDkvXgMvs8g77sNcojTJ/3uLtC/m+MtDrulM9KPPEzVwJOdfeARTiVJE3jmY7N3bSXhiELh9YzrizsFE9r6XsE63kv6V743g0Jz+TXh6KJ7zCWSuXUrJN2Zib9qarJ9y+jc6lrCuPUme9maR7d+IPjl9+/7bpC/O27edKP7w80Td8yDnX3zUX24Ij6T4oy9gb9SywHNeGLvnnh2W07fLKPH6DOxNWpP1c27fhnbtScr0otu3UX0HYy5ZhsRpb5K24GN/eWj7LsSMfpFigx4mYexDmEqUJuquIWTv2saZx+4DtwuAyLuGEHXnIMK79CDtS18URti1XcFk5swT9+M5n0DG6qWUensW9mZXkbn2R8DXt+E39CJpyhvgLJp9G9pjIKbY0hX+OH0AACAASURBVKR99C5Z3+RGqNhadyRi6LOE3Tmc1PGjsV3TDUudxmR+PZf0jyfkHn/7EEJvugt7uxvI+sH3c6ntqo5gNpPy8kg8SQlkr19OseemYW3YGsfGFYBvESTkuu6kzX67yI5bgPDb7vXd0z54h4wlee5pbTtR7MHniOg/gqRXHyO0Sy8sVWqQ/tU8UmfmRnJl1GlE9LMTiBw0inOP9PUfi8lM4rgRvnvaz8uIefl9bI1ak70+954W2qkHKTPfKrL9a+ncD2PxkmQvmoJr5ef+clPja7Hf9QTWmweT/f4zGIqVwHrrA3hOHSFz4sOQ7ntZyPXTV9gffBvrjfeS9d4oAMxNrgWTiazJj+NNOYdx2ypCRr6LqXZz3NvXAL5FEPNVN+JY+B64i2bfBvPruIlBy9t+MRmAdQNGk3U6AYCqd/cg+3wSyzv0w52VzbkN22g95y2KN65L4i87ASjeqA7lb+3Iii4DL00DRERERP5BhS6C4+zZs/Tq1Yt58+ZRrVo17rrrLurXr8+SJUvo2bMnhw8f9tf9K2/p5/XCCy+wY8eOAj/Pa+rUqSxbtuxvtWXSpEk88cQTGAwG+vbtS40aNZgxYwb33nsvzt/5xT0lJYWxY8f+re8syk6cOEGZMmW44447Asq7du0KwJYtWwCYN28eLpeLwYMH+xc3AIYMGUJ4eDiffpq7bcBXX31FUlISAwYM8C9uAPTs2ZMqVaqwYMEC3DkPGuXSePDa29nx1Mc0KFedZXs2Bq0zuO2tWExmXvp2ln9xA+Clb2eRnJnGvVfd5C/r07QjMeFRvLVsrn9xA2Dmz0vYc+owA1p1w2jwTZVVYsoCsO24b2uK+OSznE1Nokps7tvew9v1wm6x8sbS3Id+hZm9RTvcyedJ/3JuQHnWqu9wnTyGrVFLyAnZtLfpSIkJ87A1bEH21vUFntNUsgyelCQ8ib5fvJ2HfNtRmEqV9dcJ73U37vNnyVy25J9u0r+KvWU73EnnScuzeASQufJbXPHHsDf29W9Y5+4YzGbSPp3pX9wASJ0/E096GqEdb/GXmUqX8/Xv+Zz+PejrX3Op3LdnI24fiOfcWTKWfnkxm3dZ2VtegzvpPOlf/rZv84/dkLYdKTlpHvZGLcnasq7Ac5pLlg3s2yBjN6LXPXjOnyWjCI/dkNbtfeN24ZyA8ozl3+CMP4a9cSswGAjv2gOD2ULK3Bn+xQ2AlLkz8KSnEtY5d9yaS5XFk5zo71vHAd/2K+bSueM2qs+9uM8nkP794ovZvMvK1vRqPMmJZH0buLVZ9k/f4z51HOuVzcFgwFS6gi+y4MvZv6n3AwDm6vX8ZcYSZfCmJOFJ8vWt64jvHmYqkXvvCrmlv2+Lq5VF+w14W3PfPS3jq9/c01bnzAsNW4DBgK1FO7weD2lzpwbUc+7agmPnFiyVqmOMLgHkmRcu3NNytq8ylcrt3/AeOfe0H4vuvGCufxXe1ERcqwJf+HL/8iOesycw1WoCBgPmll0wWO1kL5zkX9wA8Bzdg/PH+XhOHPCXGaJL401LxptyzlfnxH5/+QWW6+/Am3wO14bvLmbzCoUq/W+l3A3XcvCDzzn1/Rp/eViV8qTGHcadlQ1A4tY9/vIL6j8/krOrNnJ66U+X9qJFRERE/gGFLoJjwoQJnDx5kscff5y7777bX7548WIee+wxXnnlFaZMmfKX3tK/ICsri6effprFi//4F2e3283rr7/OzJkz/1Y7jh07xqRJk2jSpAkffvihPz/E+PHjmTp1Kp999hl9+vQJeuzLL7/M2bNn/9b3FmVvvvlm0PKDB33h2bGxsQBs3Oh7KN6sWbOAejabjYYNG7JmzRpSU1OJiIjw123RIv/b6M2bN2fevHns27ePWrWCRxLIP2/ktb05cv4kg+e8So2SFelQq1m+Oldf0RCAlfu2BJRnuxz8fHAHneu2ItIeRkpWur/u8rjN+c6zIu4XhlzdnXplq7L9xH4SM1IBCLeFkO1y+P89OTMdgAh7KKM69uXNpZ+QlFO3UDMaSfv8A3C5IM8Wbxd4nU4MFiuYLeB0ENrpFryOLM6/+DDezMwCozi86akY7Pbcrwn1RdR5MtIA30O30OtuJnnSC+ApwguIRiOpn37ge/AbrH9duf1rrdsIgOxffwms5HTg2LOD/2PvzuNsLP8/jr/OfmbObMZujH3LUsleREmbFipKtshOyZ4sJfGtvtFCSpRUKvFDKqkkWyhSErLvOzPMfvbfH2fWzkzRlzjT+/l4zKPmvq9z7vv6nMt9n7k/12Kv1wRDuAN/Wir+lCQMtnzim5oZ3xKlcbS6l8TXxhfe+BqNpMx7F39BsQ1qu23xO52cGT8Yf0ZagaM4fAW0XX+u2Ia3upezUwp3bLMTFvnEFrcLgzUQW1ud6wBwbvkpqIxz+xbC6l+PITwCf1oKvpRkDPawnMP8sd2WLI3j9rYkvDyu8MbWYCTt0/fO65qQ9tHrpH0UPMWMqUz5QNmkhJzXpSaDLSe2hrDAKGFfeiC2xmKlsN90NylvTSy8sQUwGkld8C5+r/cv45v+zSKcP67En54WXM4duP9ntdeg60JY5nUhLfDdwFS8NGEt7+HctAmFN74GI65lHxV8XfC6MZitYDJjqtEAf2oSvl2/BBVzf/FOnt/96SkYrDmxxZ45Aj8jEFtDkZKYG9+B8+NJ4PNdtOqEIlOYnTrjB+FOTmXzky/l2edKTCI8PifhZokKxNF9LvBdtdj111HmjuYsuzFvJzEREREhu8OrXNlC7lNatmwZsbGxdO3aNc/2e+65h3LlyrFmzRp8Pt8F9dIHWLt2La1bt2bx4sU0bdr0T89hy5YttGnThlmzZv1l2YJ8/PHHeL1e+vTpk2fx6759+xIeHh50flm+//57FixYQPPmzf/Wcf8t/H4/Z86cYc6cOUyZMoUyZcpwzz2BXvsHDx6kWLFieUZkZImLC/QU3bcvsKjpoUOHAIKmPgMoW7ZsnrLyz+g953mundAlaGHv3CoXi+P4uTOkOIMfTOw/cwyAaiXLZZcF2Hs6eMHhP5b9YX9gGP+I2zrjsIXx2E3tibCH8/2ezQAMbvkwfr+fV5Z/HPReIcnnI+3zuaQt/b+gXaa48pjjyuM5dggyH/akfPI2pwY8iHPj93/6tq4dv2EMcxDeuj0GexiONp3w+3y4dwQ+04iHeuA5doj0VYW8N6bPR+pnH5O6JHgxX3PZzPgeDcTXXKos3sQz+T5sy1oU1xwXeLDp+v03jOEOHHc/iMEeRsR9nfH7fLh+D8Q38uFegfiuXHoJK3eZ+Xykfj6XtC+D2645n7abPPdtTvZvj3PjmqDyubl2bMEY5sBxV6DtRrQNtF1XZtuNfKhn4W+7Ph8pn35EyufB31PMZStgLlsBd1a7LV0Wb8Lp/Ntt5iLvlrKB66vz9y0Ywx1E3PsQBnsYke26BmK7/VcgMC2W5+hB0r778hJW7jLz+8j4ah4Zy4LXbjGVLoepTDm8xw9nt9vcDI5IbNe3IqLbEHypSaR/k/Ment1bMYaFY7/tAbCFEda6I36fD8+u34DAtFje44ezR38UWj4faUs+If2rfO5pZcpjLpNzXUhf/hmpC4PX0TJERmO96lp86Wl4Twa+I7h3Zt7T7sy8p93bMe89rX0PPMcPkbGmEF8X/D48qxbi+T54VKChRDyGEvH4Th0BjxtjqfL4Th7CEBmL9eFhhI+fR/jzi7H1/g/GMpXzvNZ3YDsGezjmZm3AasdyUzv8Ph/e/duBwLRY/tNH8G5a/o9U80pWfWBXwuNKsuOVd3GeSsiz78z6X4ipXY24NrdgjnRQ/YlH8KSmcfaXQByvHv8Ex75azenvgzv7iIiIiISCkBrB4fV66d27N2azGaMxODdjtVpxu9243e4L6qUPgREgqampTJgwgcaNG9OyZcsCz2PZsmUcPnyY4cOHZ0+RdaE2btyI0WgMOr+wsDCuueYa1q9fT2pqap61QlJTUxkzZgxNmjThvvvuY+XKlRd83H+LV199lTfeCMxBW6xYMd5++22io6MBOHv2bHZy4o+y2kNKSqBXY2JiIlarFXuunnlZshIkWWXln/H19oKnPspS1BHNvjPBCQsge7RF1uLhRSOiyXA7yXA7g8tm5C275chupq6Yx7BWnRjWKjACbO7GZXy5dR2xjigGtXyI8UveIdWZDoDBYMizuH2hYTAQ3XMoBpMpzwLgrj/20i6Ac+MaMjasJrrHEKJ7DAEgZeH7eA7uxRRXnrDmt3N20picXqAGQ/49Qgsrg4Ho3sMxmEzZi1Qbo6LxnMi/TWf1cDeGB9ppxobVpP+4mpheQ4npFVhjIvn/3sNzcA/msuUJb3E7CS+O+nfG12AguvewQNv9Knfb3XheL3duWEPGj6uJ7jmU6J6B2KYsCLRdc1x5wlrcTuJLo/+1sS3Sf0Sg3S4JTFFjjIzGc+JIvsWz2q3Bkdluf1hF+vpVFOk7nCJ9A/PvJ82bjfvAHsxlKxB+852c+c/If21sHY8MxmA0kfFd8ALgtuZ3EdlrJAD+jDTOvTAY38mcuLt+/h7XpjVEdBlERJdBAKR9Pgfv4X2YSpfDdsOtJE99+t8ZWwCDgagegXta+rI/X2A9svNjGMMdgcR/5loazp/WkLFxDVHdBxPVfTAAKYs+wHNoL6Yy5bHfeBtnX/6X3tMMBmz3D8BgNOFevwTsDgy2MLBYsQ+aAq4MPJu+wxAVi6lOU0yPv0zG60PxHQpM/+fduh7P1nXY7uuP7b7+ALiWz8V/fD+GEvGY67XE+f6Ef2dsczFaLFQd0AlPega7pr4ftH/PzE+o2KUtzTIXFvd5vfz8xAScpxMpecv1lGjRiK8bPZDzgn9pHEVERCR0hVSCw2QyBY3cyLJnzx727t1LuXLlsNls591L/+qrrwYCayqMHj2aiIgIDh8+/Kfnccstt9ClSxeKFi2Kx+P507IFOXjwIMWLFycsLCxoX1xcHH6/nwMHDlCzZs3s7ZMmTSIhIYHZs2ezdevWv3Xcf4u4uDi6d+/OoUOH+Pbbb+nYsSMzZ86kVq1aeDwerFZrvq/L2u50Bh52X0hZuXJYTGacBSzimTW1lN1s/euy7rxlAR6bO4mFv6zk2rLV2HZ8H0u3rgNgxK1dSHWm8/rK/6N4ZBFmdx1LqxoNSEhLYvySWUxdkf+orFAU3fdJbNc0xLVrG6mf/73RKokTh2Jr0Axz6Xhcu7bh3h6YqiKyQy88+3eTsW45plJliXniGSxVa+E7c5Kkd18lY23h76UZ0/8p7NcG4pu9NofJnG+vbQhMqwIEpgXKlDB+MPaGN2IuE49r51Zc2zLj27E37v27yVi7HFPpssQOHoelWm28Z05y7u1XyPj+760pFSqi+43Mbrspf1ib43wlTBiCrWGg7bp3bcuJ7cO5YluqLEUGjcNSrRbeMydJeudVMtYW7tgWeXwU9rqNcO3cSvKizDWIzGb8Bawplj3Nj8WWve30M09gb3wjljLlcO7YimtrYJrB6C59cO/bRfqabzGXjid2+His1WvjPX2CszNeJn31sktbucss4tHhWGs3wL1nO+lffhK0359yjvQlH2GILoqtQXOiR0wm6ZVRuLf8mF0madIIrNc1xVSqLO492/HsCIw8DH+gB96De3D9uAJjyTgi+47FXLkmvoSTpM6ZiuvH7/6xel4uUb2fxHZ1A9y7t5H6RcH3NMf93Qi/+S68J4+R/NGbefadfX4otvrNMJWOx717K+7tgfhGPNQTz4E9ONd/h6lUWaIfezrnnvbeazjXFe57mrXdE5iqXYf34A7cKxdgiAh0NjKVrYp35yYyZo7JvreZajXB3uNZrO2fIGNSv+z3cM4ci6dWEwzF4/Ad/B3f3sDII+sdXfEd24t382oMxcpg6zgCY7ka+M+dxvXpdLybV/3zFb5M4tvfQVjpEux+62OcpxOD9vucLpY1fYi4trcQVroEp1ZtIPHnbQBc/ewTHF70DQkbtxDboA4NZ04kumYVknbs46f+z3By5Y9B7yciIiJypQmpBEdBfD4f48ePx+fz0b59e+DCeukD1K9f/7yP93dGbPzRuXPnqFSpUr77ss4vOTlnDv+NGzfy4YcfMnz4cOLj45Xg+Avt2rXL/v8VK1bQp08fRowYwWeffYbdbi9wEfesxeezEk8XUlauHOluJ1aTJd99tsxkRaorMMoi3eXEGpX/pdBmyVs2y/IdG1m+I6fHd8moWAa0eIBhC6aQ4Xbybpcx1CpdkfvfGsnVcVWY8uAQfju6hxU7/7B+Qqgxmoju9xThLe/Cc/wwif8ZFlif429yblhN7vSguUJV7E1uJnFioGd8zBPjMNhsJE4YjK3eDcQMGs+p/bvwHj30P1bkCmU0EfPYKBy33I3n2GHOPDckO75+lzOwXkQ+DJnbfRl522nGj3kf7lgqViPs+pacGR/oYRw7+FkMNjtnnh2Evf4NxA59jpP7duE5evBi1+zyM5qIGfAU4S0DsU2YOPR/a7s//qHtVqyK/fqbSXguMCKpyOBxGGx2EsYHYltkyHhO7t+Ft5DGNvaJMThuvQfP0UOcemZQnnZrKKjdZl5f/X9st+tXkZHrd0ulaoQ1vYXTzzwBQOzw5zDY7Zwe+zj2hs0oOmICx/fuxHOkcMY2oscI7M1b4z1xhOTJT+ZZrD2L66fVuH5aDUB6hWrEPP0mkX3HkjDoAXDmRNO1Ke8UbKbyVbE2vImkSYERM5H9nsZgtZH00jCs115PZP9nSDy4G9/xwnvNjeozkvCbM+9pLwwv8LoQ8WBPIto9ii/pLIkTBwfWNfkD58bVeX43V6iKvfHNnH0+cE+LfvwZDDY7if8Zgu2664kZ+Cyn9+/Ce6wQxtdoxNp+MJZGt+E7fRTn208Hrc/h+nR6nsS9d+s6vLt+wVT1WgzF4vCfPpJnX563L1MZ09XNcL49BgBbxycxWG04Z4zGVLMRts4jST+6B/+p/EeQFTYVO98LwJ6ZBXem8bndHPok7xR/cfe0JLZBHZbWvReD2UzTeVNI3nWAlcN6Uqn7AzT9v6l8VuUW3GeTCnhXERGRws9oMFzuU5DzEHJrcPyR3+9n7NixrFu3jtq1a2eP8LiSe977/X68Xu95n5/T6WTUqFHUrFmzwBEsUrAWLVrQpEkTdu3axcGDB4mKisqTPMota3tWkikqKgqn05mdzMgtK0GWVVauHIlpyUSHOfLdl7U9a6qqxLRkwqx2rPk8hIu25y1bkNF3dONkciIz1nxKTHgk99dtwX+/mcPiX1fz3Jez2HRwB/2bP/Cn73HFs9ooMvK/geTG0YOcGdMPX+Lpi3qIyI59cO/aivOn7zGXr4K1em2S57yJc9M6kt5+GV9qEuGt2l7UY14pDDYbRUe/FEhuHDnA6VF98CXkxNefkpQ9BdUfGTOn+PGn/fl0eVGd++De+RvOjd9jrlAFa406JL3/Bs6f1nJuxmR8KUmE31744muw2ogd9d9AcuPIQc6M7psnthdDVMe+uHfmbrt1SPrgDZyb1nFu5sv4UpJw3Nrmoh7zSmCw2Sn2zGQct96D+/ABTo7onSe2vuSk7Pb5R1nbfX/RbqO79se14zcyflyDpWJVbFfV4dy7r5OxcS1n33wJX0oyjjvuu3iVulJYbUQNfj6Q3Dh2kHMTHsN39q/brXf/Tpzff4UxugiWKrX/tKyjXU88e7bh/mUdpvjKWKrUIu2Tt3BvXk/q+6/iT03GfvM9F6tGVxarjZgRLwaSG0cPkvBM//zvaUYjUX2eIqLdo3jPJpAwbgCew+e39lpEh96Be9qmtYHrQrXapHz4Jq6f15E865XMe1rhuy5gsWF79NlAcuPkYTJeH4o/6QwA/szvU36PG9+x/UEv9R3dA4CxWOmgfXkOcecj+A7+jnfbjxhKV8RU4SpcS2bh/X0DrkXTIC0ZS5PWF7VaVypzpIPizRuSsu8wiT/9dkGvrTNuIAc/WcK533ZS+o4bCY8vzaZBEzj+9Ro29BmLOdJBhYfvvkRnLiIiInLxhHSCw+Px8NRTTzFv3jzi4+OZNm1adnLgSu55bzAYsFgsf3l+4eHhALz22mscPnyYiRMnYjKZ/rHzDCUej4e1a9fy/ff5L25cpkwZILCmRoUKFThz5gwZGRlB5Y4cOYLRaKR8+cBivRUqVADId9qyrG0VK1a8GFWQi2jnyYOUjIrFnmvqkywVi5XB6/Oy6+Sh7LIAFYoG/zFdsVig3ew4caDAY5WLLUXPG+5l/JJ3cHs9VCpWBrPJnP3+WceoXDzuf6rT5WRwRFL02WnY69+Ae8/vnHmqF77TJy7qMSzVa2Ov35TkOYFpP8yl4wECC74C+Lx4jx/FXCp041gQgyOSYs+9gb1BU1x7fufUiJ54T+WNr+fIQYwxsWANbtOmkmXwe72BBckLYK1eB3uDZiS9nxnfMlnxzez17vPiPX6k0MXX4Iik6HPTsNcPxPb0yJ54L3rbrYO9QVOS5uSNbfZII58X74kjmErnP6o0VBkiIin+/HTCGjbDtXs7J4d0x3vqeJ4yWe3WkF+7LRUXaLd/MvLCetXVhDVqxrnZ04Bc7fZITrv1HDuCubDFNjyS6FFTsNa9Hs++HZx9ti++M3nbrbnGNVjrNc339d7Tgc/BEBld4DHMVWphrXsDafPeAsBUKrPdHs/Vbk8dxVSicF0TIHBdiH3mdez1bsC9dwcJo3vnf08zW4gZ9gLht9yD58RREkb3xnNg93kdw1KtNvZ6TUn5eDqQE98897QTRzGVLGTxDYvA3u+/mGs2wnt4F+lTBuE/eypnv9sZSNQZjYF1Hv7IGBhR63cV3AnNWP4qzLUa41rybuD3zO9XvqzRGj4fvjPHMeTzva4wKtXqBkxWK4cXfn1Bryv3UGuialbmt2emABBZJfC3T/Ku/QC4zybhPJ1IROVyF/V8RURERC6FkE1wpKen069fPxYsWECFChV47733KFmyZPb+C+mlf6nMmjWLKVOm5PnJWvw8Ojr6L88vIiKCLVu2MGvWLB599FFq1KhxSc831PXp04ehQ4fi9XqD9v3+++8YDAbKli1LvXr18Pl8bNyYd1FZp9PJL7/8QpUqVbLXbqlXrx5A9ueW2w8//EBkZCSVK1e+BLWR/8Wa3ZsxGU00q3JNnu02s5XGFWuz9eg+Upxp2WUBmletG/Q+Lapdx9m0ZLYf31/gsZ5u/SgHEo4ze/0SAMyZf5ybjTnJSLvZGrprNVqsxI6ahLV6bZy//RQYuXEueH7n/1Vkx744t2zMWew5M5lryJXUDawxEaqBLIDFStGxL2OtUQfnlp84PbJPvvF1bt+MwWTCVuvaoNdbq9fBc3Av/vS0Ag8T1bkvzs0bcP4auJYZMttp1sMkIJA8KUzhtVgpOmYy1uqB2J4Z1feStN2oTn1x/roRV2Zss9ouuduuxVa4Fmy1WCk+7lVsV9Uh49eNnBzeK/92u/VnDCYT1tp1g15vq1Eb91+02+iu/cn4ZQPOXzLngDcF2mvwdaEQsViJGvYiliq1cG/bxLkJA/AnnQ0qFtlzJJGPT8DgCP4uay5XBSDPQuN/FN6+N66tP+He+lNgQ77ttpDFFsBipcjISVir1ca1dRMJT/fFl5T/dSHmiWexN2iG++AeEkb3ykn+nIeIDn3y3NMM+d3TClt8zRbsPZ/DVOEqvLs3kzF1KKQEt13f3i0YjCaMVa4O2meMr4rf68H3Jx1LrK274d31M75dP2e+yJT3vwCFLbZ/omijwPeCU6s3/kXJHAaTidpPP8b+9z/NTmgYzIHrq9Gc873AZLfhL0z3LhERESm0QjLBce7cObp27crKlSupWbMmH374YXYP/SwX0kv/Upk1axZTp07N85P1oLxChQqcPHky36mPDh8+jMlkoly5cixbtgyv18v06dOpXr169s/AgQMBePXVV6levTqffvrpJa3Llc5sNtOqVSsSEhJ4++238+z78MMP+e2332jRogXFihXj7rvvxmQyMXXq1Dzxf/PNN0lJSeHBBx/M3nbLLbfgcDiYOXMmZ8/m/JE2f/589u/fT7t27TAaQ/KfUaE2Z8NXeLwenmndI8/UU0/d3pXosAjeWrMoe9uizatISk9leKtOFAmPyt7ercldVC9ZnpnfLy7wj7uqJeLp0ugOnvliJl5fILG26+QhvD4vjSsFpgYxGU3UL39V9kiRUBPZqS/Wq67B9fuvJIwflD29xMVkrVMfW5362aM3ADxHAg83LNUCcTQ4IjGXKVfo1oeI7tIPW81rcG7/ldPPDCwwvukrluL3eojs0CvPWhyR7bthdESQ+tXCAo9hu7oBtmsakPRBcHytNXLFN65wxTeqc7/stnvm2ScuTdu9ugG2q+uTNOeN7G3Zsa0eWK/L4IjEVMhiG9NtALZa1+LctpnTox/Dn5Z/bNO++xK/10N0p95gyWm3UQ91x+iIJHXJggKPYbu2IfZrG3Bu9uvZ2zyH9wNgvSozthGZ7fZwwQ9DQ42jfW8s1a7GvXML514cUmACyLl+OQazmfAH++TZbrm2CdYGLfAc3I1n7+/5vtZSqx7WWvWyR28AeDNHc5kzp7UyhEdiKhWfvb2wiHy4L9YaV+Pa8SsJEwYVGN/wO9tjb3wTnmOHSHj6wqZkzLqnZY3eAPAcLfz3NGvr7pgq1sK7bysZbz0Fzvxj614X6BBivbsn2HJG05uubY6pQk28W9dDav5rPhir1sVUtW726A0A/8nAiGpT+asCG8IiMBaPw3cqePR1YVTk2kC9z2zYct6vqdi1LY4KcWwdn3N9Td65F4CijQOdgyKrV8IaE5WdABEREfm3MhoMheKnsAu5RcadTie9e/dm8+bNNGzYkDfeeCO7t31u9erV44cffmDjxo00bdo0z+v/2Ev/Ulm1alWB++rVq8fGjRv56aefaNKkSfb29PR0fv31V6pXvovNNwAAIABJREFUr054eDiNGzfGbA7+mHbv3s3SpUtp1KgRDRo0oHr16pekDqFk+PDhbNy4kUmTJvHDDz9QrVo1tm/fzrp16yhbtizjxo0DoFKlSnTv3p0ZM2bQpk0bbrrpJnbv3s2KFSu47rrrsheqB4iJiWHYsGE888wztGnThjvuuIMTJ07w5ZdfUqFCBXr37n25qit/YueJg7y07EOevK0LPz/1Hp/9uoZaZSpyV52mrNm9mRnf5yQEE9OSGL5wKm8+PIJfRr3HJz99S1xMcdrXa8mOEweYuHR2gcd59u5e/H7iAB9v/CbP+y3avIrhrTpR1BFNzVIVKFukBFO+K3jhxyuVMSYWxx2BtUM8h/cT0bZzvuVSFryXZ6HQCxXZsS8ZP63FvSPnj3PP/l24dm8nqtsTWMpXwVrzWjAaSfuTB/mhxhhTFEfrdgB4Du0j8v4u+ZZLnj8bz5EDpCycQ+QDXSnx6gdk/LgaS/lK2Bs0w7ntF1K/WpTvayEweiNj4/e4fv81e5t7305cu7YR/WhmfGvVxWA0krq04AfOocQYUxTHnYG26z60n8j7Cojt/83+n9puVKc+ZGz8Hvfvudruvsy2230g5vKVsWXGNm1p4Wi7xiJFibgrcJ90H9pHZPtH8i2XNHcWnsMHSJ7/PlEPdqPU1I9I/2EVlvKVCWvUDOfWn0n5k/YW3bU/6T+uwbU9V7vduxPXzm3E9ByMpUIVbLWvw2A0kbLk/y5qHS8XQ3Qs9laB9US8R/cTfnenfMulffYB6Z99gLXu9YS1bIM5vjLunVswlSqL9bqm+FOTSH79mQKPE96+N65f1uHZlTNfv/fALtx7f8fR6THM8ZWw1AhcczOWF54ONMaYWMJvvx/IvKe1yf+elvr5R0Tc3y1Q7sBuHHe0y7dc2tcL8J1NCNoe0aEPzk3B9zT3nu1Edh2IuVzl7Hta+jeF47pgiCyCuWlgvRbfiYNYbn4w33Lubz/Gt/sX3KsWYrmxLWHDZ+D9dTWGmOKYrm6KLykB16I38n0tgPXObni2/Yhv/7bsbb6je/Ae2om1TW+MZSpirFQHjEY8a7+4uJW8QkVULocnLZ2MYyfPq7zRYqHW6H7sfXs+qQdyRnkd/2oNaYeO0Xj2ixz4+Avi7r4Z5+lEDnz42aU6dREREZGLJuQSHJMnT+bnn3+mbt26zJgxA7vdnm+5u+++m+nTpzN16lQaNmyYvTZHfr30L4e7776bGTNmMGXKFOrVq5d9fm+88QZpaWnZD9mbNGmSJwGSZenSpSxdupTGjRvTr1+/f/Tcr1QlS5Zk/vz5vPbaa3z33XesX7+eEiVK0LVrV/r27UuRIkWyyw4ZMoTSpUvz4Ycf8t5771G8eHEeeeQRBgwYELT4e4cOHYiOjmbmzJnMmTOH6Oho2rRpw6BBg4iJifmnqynnaeSiaRxKPEG/G+9n4M3tOZ6UwORlHzHui5m4PHnXv5m+eiGJackMv7UT/ZvfT0JaErPXL2HUp2+SmJZ/L8Kr46rQ/rqWPDDjqaARHo++P4HpDz9J18Z3ciblHI++P4G1e3/N932uZJZqtbOn0Ai/peCFZlM/+xj/33xIbKvfFGv12pwa0jVoX+Lzw4npP4rw29riPXWcxBdH4j157G8d50pkrZETX8et9xZYLmXxR/jdLpJmT8V76gSO1g8Qcc9DeBPPkLJoDkkfzQBP/ms62Rs0w1qjDiefCH6QlzBxODGPjcJxx314Tx4j4T9P4j1x9OJU7jKzVs8V21YFt92Uzz76+223QVOs1etwanBw8iThP8OIGTAax+334T15nIQXnsR7snDE1lajTva0UBG3FbxAcvLCOfjdLs7NmoL39Aki7mpHZJsOeBPPkLzgA8598BYUsBaZvdGN2K6qw/EBHYP2nX52CEUGjSXizgfwnDzG6QnDC027tVSpld1u7S0KXtg3fekn+NNSOPdsP8Lu64at4U2E3d4Of/I5nKu+IG3BrKA1O7JY696ApUotEkd1D9qX/PJIIno+ib1lG3ynj5P86mh8pwrPNddSNdc9rWXB14WMH1dijA58Z7Q3vgka31RguT8mOGz1mmKtVpvTw/O5p704gui+TxF+a+CedvalpwrNPc1Y/ioM5kBsLY3vKLCce+UC8LhxLZyG7/BuzM3uxXz93eBMw7vpO1xLZuFPzP9BvalWY0wVriJ9UvDfPc53nsH64GDM17fGn3AS57vj8Sccz+ddCh9b0RjSDp9/XSv3ehBbiaJsnZA3keTNcLLyrl40ePNZqvbrSNK23azvOhxP8sUf/SgiIiJysRn8ITSx5qlTp7jppptwu93cf//9lC6d/+JxvXr1wmaz8dJLLzFjxgwqV64c1Et/9uzZQQ+ysxw+fJiWLVvSsmVLpk2b9qfn5PF4qFWrFrVq1WLBggvr+frCCy/wzjvvULVqVVq0aMGOHTtYtWoVDRo04J133inw/CCQ4Bg4cCADBw5UgkOuaIa+jS/3KRRaR4+HzOU75Pg8vst9CoWWwVj4h8deLl6n53KfQqEWVjTsrwvJ3+JxBq+fJhdHZPylXXPw3+yz1wrPFGNXooe8Oy73KYiIiLDq6OjLfQoXxY1lnrvcp3BJhdQIjs2bN+PO7O33f/9X8HQEXbt2xWazXVAv/cth+PDhlC5dmo8++ojZs2dTvHhxunfvTv/+/a+I8xMRERERERERERERuVKF1AgOEQk9GsFx6WgEx6WjERyXjkZwXDoawXFpaQTHpaMRHJeORnBcOhrBcWlpBIeIiFwJNIIjNBgv9wmIiIiIiIiIiIiIiIhcqJCaokpERERERERERERE5FIzGjQ2IBToUxIRERERERERERERkZCjBIeIiIiIiIiIiIiIiIQcJThERERERERERERERCTkaA0OEREREREREREREZFcjBgu9ynIedAIDhERERERERERERERCTlKcIiIiIiIiIiIiIiISMhRgkNEREREREREREREREKO1uAQEREREREREREREcnFaNAaHKFAIzhERERERERERERERCTkKMEhIiIiIiIiIiIiIiIhRwkOEREREREREREREREJOVqDQ0REREREREREREQkF6NBYwNCgT4lEREREREREREREREJOUpwiIiIiIiIiIiIiIhIyFGCQ0REREREREREREREQo7W4BARERERERERERERycVoMFzuU5DzoBEcIiIiIiIiIiIiIiIScpTgEBERERERERERERGRkKMEh4iIiIiIiIiIiIiIhBytwSEiIiIiIiIiIiIikovW4AgNGsEhIiIiIiIiIiIiIiIhRwkOEREREREREREREREJOUpwiIiIiIiIiIiIiIhIyNEaHCIiIiIiIiIiIiIiuRgNGhsQCvQpiYiIiIiIiIiIiIhIyFGCQ0REREREREREREREQo4SHCIiIiIiIiIiIiIiEnK0BoeIiIiIiIiIiIiISC5Gg+Fyn4KcByU4RERClCvJeblPodBypbgv9ymIXDBHKcflPoVCzWjRwOdLJUpt95JZPuPA5T6FQivCASmpl/ssREREREQJDhEREREREZEL9JB3x+U+BREREZF/PXVFExERERERERERERGRkKMRHCIiIiIiIiIiIiIiuRjRGhyhQCM4REREREREREREREQk5CjBISIiIiIiIiIiIiIiIUcJDhERERERERERERERCTlag0NEREREREREREREJBejQWtwhAKN4BARERERERERERERkZCjBIeIiIiIiIiIiIiIiIQcJThERERERERERERERCTkaA0OEREREREREREREZFcjAaNDQgF+pRERERERERERERERCTkKMEhIiIiIiIiIiIiIiIhRwkOEREREREREREREREJOVqDQ0REREREREREREQkF6PBcLlPQc6DRnCIiIiIiIiIiIiIiEjIUYJDRERERERERERERERCjhIcIiIiIiIiIiIiIiIScrQGh4iIiIiIiIiIiIhILgaDxgaEAn1KIiIiIiIiIiIiIiIScpTgEBERERERERERERGRkKMEh4iIiIiIiIiIiIiIhBytwSEiIiIiIiIiIiIikotRYwNCgj4lEREREREREREREREJOUpwiIiIiIiIiIiIiIhIyFGCQ0REREREREREREREQo7W4BARERERERERERERycVg0NiAUKBPSUREREREREREREREQo4SHCIiIiIiIiIiIiIiEnKU4JBC5dSpU4wdO5bmzZtTu3ZtbrjhBoYOHcqhQ4fylEtPT+ell17i5ptvpnbt2jRt2pSxY8eSkJDwl8dYsWIF1atXZ8qUKZeqGnKeSkcX4+zkZQy8+cF893dudAebnppNyivfcWjiYibdPxCHLSzfsnfWvp61w2aQ9PK3nHhxCTM7PUXxyCJB5RpXrM3PT71H6qsr+GHE2zSpVCeojMVkZt9zC3np/sf/twpegUxFixP/6Woi7+sYtM9gDyOmx+PEzVlC/JL1lJm1kKgO3cFiDSob1qQ5ZWYvJv7ztZR86S3M5SoGlTFGxRC/eA2RbR66JHW50piKFafSt+uJeahznu0VFn5N1R+2/ulPZOs22eUdzW6i/PwlVP5uA3Gvv4OlQqWgYxmjY6i0/Aei2z18yet1JVBsLz5jTFGi+z5Jybc/o/T87yn57pfEDBqHqWSZAl9jsNkpMeNToh4dlO9+W8NmlHhjPqU+XkHR8dMwl60QfNzIaEp9tBxH6/YXqypXHEN0LOFdhxA9aT5FZi4n5tVFOHqNwVi8dN6CVjthbboT/Z8PKPLWMqJf/Jiw+3uC1R70npZrbyD6+Q8p8uZXRA5/BWPp8sHHjYimyBtLsd1y/6Wq2pUhsgiW+x/HPmYOYS98QdjTH2N9eASG2FJBRY3V62Pr+1/CJiwk7Nl52HpOwBhfLaicqVZj7E/OImzip9j6vIihRHzwcR1RhE1YiLnpvZeiVlcUW6kS3HZoIxX7dc13f1yHe2m2eiG3H/uZlttXUnPik5gc4UHlSt5xMzf9/BW3H91E489mE1Et+JpriS3CbYd/okLvThe9HiIiIiISGpTgkELj1KlTtGvXjrlz51K5cmU6d+5MnTp1+Pzzz3nggQfYv38/AD6fj549ezJjxgyKFClC586dqV69OnPnzqVDhw4kJycXeIyUlBTGjh37D9VI/ozDFsaC3s8THRaR7/4nb+vCe488jdFgZMqKeWw+vIvBt3Tg68dexWLKu/zQQ/Vb8UX/yZSILMIbqxayfMdPPNKkNWuHvpXn/e0WGwt7v0CsI4o3Vi0gwhbOV4+9Qsmo2Dzv16tpG4o6onj+q/cufsUvI4M9jOLPTMIYERm8z2an5KSZRHfoji89jZTP5uM+cpAiPR6n5PPTMFht2WVNRYtTfOyL+D1uUj6fjzmuXFAZgKgO3fClJJP8xf9d8rpdboawcEq/8CqmfGJ7du77nJnxetBPwntv4/d68WWk49y2BQg8yC81YRJ+t5tzCz/BEl+OuFffwmDLG9vYrj3wJSeTtGjeP1K/y0mxvfiMMUUp9tIsHLffh/vQPlI//xj3rq2E3XgbxV+ajal0Pg93jSZiBo/HXKJ08D7AGFuM2GET8Xs8pH21EHOZeGKfeQ3+cF2IuL8rvtQUUr9aeCmqdtkZomOJGvsW9pva4Dt2gIxv5uPZux1r41uIenoGxpJlAwWNJiIHv0hYm274Ek+T8e0CfCePEHZ3F6JGTsmTWDbEFCWi/zj8Xg8ZKxZjLFmWyKGTgpLP9tYd8aWl4Fyx+J+s8j8rsgj2gVOwXH8X/hMH8axehPfQDkx1b8L+xFQMxXISdKZGd2DvNRFD8Tg8P36Fd+s6jJWvxjZgcp4khyEqFmvn0eB141n3BYbicdh6/QfMeeNruflB/OmpeNYt+ceqezmYHOHUnzMFS3TwNReg8uBe1J3+Igajkf3TPyDpt9+pNKAbjRa9jcFiyS5nK1WC62a/gs/l5sCsuTgql6fRwrcx2vNeE6oM7onnXBIHZ829pPUSERGRfyejwVgofgq7kFxk/NSpU0yZMoWVK1dy5swZoqOjadKkCQMHDiQ+Pu8f1YsWLeLdd99l//79REVFcccdd/D444/jcDgKfH+fz0f79u0pUaIE06ZN+8vz6devH8ePH2fBggUXXJcFCxYwe/ZsDhw4QHR0NHfeeSePPfYY4eF5ezGtWrWKnj175vseJUuWZNWqVRd87MJmypQpHDt2jCeffJJu3bplb1+8eDHDhg3j+eef58033+Sbb75hw4YNtGrVitdeew2jMfAPffLkyUyfPp3Zs2czYMCAfI/xwgsvcOLEiX+kPlKwcrGlWND7eeqVq5Hv/vgiJXn27l6s3fMrzSf3xePzAjDurp6Mbf0ovZq24fWV84FAomTqg0PZc+owdSd2ITkjDYCvt/3AO11GM/qObgxbEBitc1edGygVXZRGLzzKj/u3MnnZRxycuIiODW5n8rcfAoEkyKg7HuG17+ZxOuXspQ7FP8ZUojTFx03CVq1mvvujHnwEW41apK3+llPPjQCPB4CIe9pTdOBTRD3UjXPvvQmAo+WdYDJzcngfvGdOkbryG0pPfZ+wRk1JW/1t4HhFixN5T3sSX/8vuN3/TCUvE3Op0pR+4VXsNWrlu//sx+/nu734sNEYTCZOvvgCrn17AIi8/S4MZjNHHuuB9/QpUpZ/RfzbH+G4/kZSvvsGCDyoj77/IU5Nfh6/YpvvdsX2z0V26Im5eCnOvf0KqYs/zN4e1vw2igweT3T3gSRMGJq93RARRZGhz2Gv27jA9wxrfjuYzJx5egC+hNOkf/8txf/7DvZ615Ox7jsgkAQJv/MBkmZMAk/hjG9Ym26YipYk7aOpZHyV88DW2qQVEb3HEv5Qf1JeHYmt2Z1YatQlY+lc0j6emvP6B3oTdlcnbDe2xvltIAlka3IrmMwk/3cQ/rNncG34jugx07Fc0wT3xpVAIAliv7ktaR++VmhjC2C5tTPGIiVwfTodz6qc5LnpupuxdXwSyz29cb3zNIaY4ljb9MV3/AAZ04ZAahIAxnVLsD32MpbWPXC+OTzztS3BZMI5/Un8SQl4N6/CPvA1TFc1xLtlDRBIgpivvxvXojfAW3jjGxZfhnofTCGmbu1899vLlqb6qMdJ+GET6+7ojD/zu0K1UY9TbUR/yndrz/635gAQ1/5ujBYz6+/tjvP4SY4tWkrTbz+hxK3NOb74ayCQBKnQ42G2jpiAz1V44yoiIiIify7kUjjn20sfYPr06YwYMQKfz0enTp2oUaMG7777Lo8++igul6vAYzz33HNs2bLlvM5n+vTpfPvtt3+rLq+//jojR47EYDDQqVMnqlWrxjvvvEOPHj1w/+HByI4dOwDo0KEDAwYMyPOT+2H+v9myZcuIjY2la9e8w+HvueceypUrx5o1a/D5fNmfbdu2bbOTGwDt2wemu/jll1/yff9169Yxb948mjdvfolqIOdj4M0PsmX0HK6Jq8K3v2/It0zvZm2xmMxMXDo7O7kBMHHpbM6lp9Djhnuyt3WofytFI6J5+duPs5MbALPWfc7vx/fzSJPW2dnuikUDPTs3H94FwNFzpziVfJaKxXJ6JD/Woh12i5WXls25eJW+zCLv60iZmfOwVq5G+qYf8i3juOk2/D4fCVOez05uAKQs/gT3of1Etn0IjCYAzKXi8J1LxHvmFACu3Tuyt2eJ7tgT75lTpCz99FJV64oQ81Bnyn24CFuV6qRtWH/erwur15CYBzqQ9tOPeUYKWEqXxXs2Ee/pQGydO38HwFwmJ7ax3frgOXWKpM8LZw/4LIrtpWNv3Bzv2QRSP/soz/b0lV/hOXYIW93GYDAAENbsVkq8Phd73cZk/Fzw52AuUQZf0ll8CacBcO/bCZBnyqvIdt3xJZwi7dvPL3aVrhjW627El5RIxtef5NnuWvcN3hOHsdRuCAYDxlLx+JLOkv7FB3nLrV8GgLlyzgNmY7HS+JPP4j97BgDvwd0AmHLdu8Lu7orv7Gmcqwv36AJznRvwJ5/FszpvpyTvpuX4Th/BVL0eGAyYG92OwWrHtWhadnIDwHfwdzzfzcN3dE/2NkNsKUg5hz8pMM1p1j5D0Zwpr8y3dMSfdAbvhq8uZfUuq4r9unLjus+IqlOD0yvW5VumfLcHMVos7J40PTu5AbD7pTdxn0smvku77G3hFcriPJ2A8/hJAJJ+3R7YXr5sdpmqw/uScfwkhz648E5mIiIiIlJ4hNwIjvPtpX/06FFee+016taty/vvv48lc8jzq6++yrRp0/jkk0/o1CnvXK0ZGRmMGTOGxYv/emi+1+vlv//9L7Nmzfpb9Th06BCvv/469erV47333sNsDnwUWaMI5s+fT4cOHbLL79ixA4PBwPDhw4NGd0jg8+jduzdmszlP0iKL1WrF7XbjdruJiYkB4OjRo3nKZI3MiI2NDXp9eno6Y8aMoUGDBrRr146VK1deglrI+Xji5oc4kHCM3h++QLUS5WhZo0FQmRurXgvAyl0/59nu9LhYt3cLt9dqQpTdQVJGanbZ73b+FPQ+K3Zuos+N91G7TCV+PbKbxLTA9GURtjCcHlf2/59LTwUg0h7O8Fs7MWnZR5xNK3iqs1ATdX9HPCeOkfDyc5jjyxN2XaOgMuZScXhPHs9OWuTm2rcLx42tsJSviHvfbnwpSRjsOWuhGDNH1PlSU4DAA82IO9ty5qWnIVeCqjCKebAznmNHOfn8OCzlKhDeoOAe7rkVe3wYfq+XUy9NyLPdl3wOY57YBqZY86UEYmsuXYboe+/nxHOjwavY5kex/QtGIynz3sXv9YDfH7Tb73ZjsFjBbAG3i/Db2uJ3OjkzfjD+jLQCR3H4UpMx2HPWjjCGB64L/qzrQonShLe6l7NTxhfe64LBSPrn70NBsfXkxDZ97jTS5waPMjaVLgeALylnTTF/WjIGa07bNdgD3yP9mfcuY7FS2JrfRerbzxfe2AIYjLi//Sjw7zOf+OJxYzBbwWTGWKMB/rQkfLuDO724l7yTd0N6ct51T+yZbTczvoYiJTE3uh3X3Mng81206lxpKvbtQvqhI2wZ+DSOKhUo1qJJUJnYGwLf2c6sydtBxed0kbjhF0rc0gxzVASepBTciecw5/qbxxwZuOZ6kgLfr8LKxVGuywNs7j8Kf2G+5oqIiIjIXwq5ERzn20t/7ty5eDweevfunZ3cAOjTpw8RERHMm5d3buy1a9fSunVrFi9eTNOmTf/0HLZs2UKbNm2YNWvWX5YtyMcff4zX66VPnz7ZyQ2Avn37Eh4eHnR+O3bsID4+XsmNAphMJrp27UrHjsELH+/Zs4e9e/dSrlw5bDYbd911F5GRkbz++uusXLmStLQ0fvvtN55++mksFku+7zF58mROnjzJ+PHjMWT2SpXLo/ec57l2QhfW7S14lFXlYnEcP3eGFGda0L79Z44BUK1kueyyAHtPH/3Lsj/s3wrAiNs647CF8dhN7Ymwh/P9ns0ADG75MH6/n1eWf/x3q3dFOvPyeI71fhDnts0FlvG7XZDrWpub0RGYh9tcMtBb2Ln9V4zhDiLbdsBgDyOq/SP4fb7s94/p2gf3kYOkfvvlRa7Jlefk8+M42Pl+MrbkP3IsP5G3tsZeoybJX32Oa+/uPPsyfvsVo8NBdPuOGMLCKdKpG36fL/v9i/boj+vQAZK/+uKi1uNKpNheIj4fqZ/PJe3L4LVxzHHlMceVx3PsELgDSeDkuW9zsn97nBvX/OnbunZswRjmwHFXewz2MCLadsLv8+HaEbjWRz7UE8+xQ6SvKrw94PH7cH4zH+fyRUG7jKXLYSpdDu+Jw9mxzc3giMTa+BbCuwzGl5qcPT0VgGfPVgxh4YHFw21h2O98GL/Ph2f3bwCEtemO98RhXOu/uXR1uxL4fXhWL8Kz9rOgXYYS8RhKxOM7fQQ8bowly+M7eQhDZBGsDw0jbNwnhE1cjK3XRAxl8i507TvwOwZ7OOambcBqx9KiHX6fD9+BwIgDy22d8Z8+gvfn5f9INS+XLU88zaob2pD4488FlnFULEfGiVN4U1KD9qUfOBIoU6UiAIkbNmOOdFChT2dMjnAqD+yB3+cj8cfANbfayAGk7jnAkU+CP08RERGRi8WAsVD8FHYhNYLjQnrpb9gQ6BnUoEHe3t02m41rr72WNWvWkJycTGRk4MHb4sWLSU1NZcKECTRu3JiWLVsWeB7Lli3j8OHDDB8+PHuKrAu1ceNGjEZj0PmFhYVxzTXXsH79elJTU3E4HLjdbvbt20eLFi0u+Dj/dj6fj/Hjx2evqwJQqlQpPvjgA4YMGUKvXr2yy0ZHR/Puu+9yzTXX5HmPn3/+mQ8++IBBgwZRoUIFdu/O+9BL/llfb89/iqTcijqi2XcmOGEBZI+2yFo8vGhENBluJxluZ3DZjLxltxzZzdQV8xjWqhPDWgVGgM3duIwvt64j1hHFoJYPMX7JO6Q60wEwGAz48+slGmIyNuY/1URurp3bsNdtiLXm1bi2/Zq93RhTBFuNwFQpWYmO9HWrSFu3ktgBI4gdMAKAc3Pfxb1/D+b4CjhuuZPTzz2Z08PWYMi/t20hkPbD9xf8mpiOgQR/4px3g/alrllByuoVlBjyFCWGPAVAwvvv4Nq7G0v5ikTefhfHxwxTbAug2P4PDAaiew/DYDKR9lXOA3rXlo3n9XLnhjVk/Lia6J5Die4ZWL8jZcH7eA7uxRxXnrAWt5P40uh/Z3wNBhydBmEwmnCuCH6Ya72xNRHdnwTAn5FG8ktD8Z3KuQe6f1mL65fvcXR6AkenJwBIX/Ih3iP7MJYuh7VJK1LeGPfvjC2AwYC1bX8MRhPu9UvA7sBgC8NgtmIbOAVcGXg2fYchKhZTnabYB7yMc9pQfJnTVXq3rce7dT3Wtv2wtu0HgPu7T/Af34+hRDym61ri+mBioY/vqW//PIkJYImNIf3RagZhAAAgAElEQVTA4Xz3uTNHZliiAt+5Ti79jhNfLqf2i6Op/eJoAPa8MpPk7btwVK1E3IP38HO3wYU+riIiIiLy10IqwZHVSz8/f+ylf/DgQYoVK0ZERERQ2bi4QI/tffv2cfXVVwPwwAMPMHr0aCIiIjh8OP8v3lluueUWunTpQtGiRfHkmj/2Qhw8eJDixYsTFhYWtC8uLg6/38+BAweoWbMme/bswe12Y7VaGTp0KOvXryclJYWaNWvSv39/brjhhr91DoWd3+9n7NixrFu3jtq1a2e3nbS0NKZMmcLu3btp1KgRtWrVYt++faxYsYKxY8cyc+ZMypQJzPntcrkYNWoU1atXp3v37pezOnIBLCYzzgIWSc2aWsputv51WXfesgCPzZ3Ewl9Wcm3Zamw7vo+lWwMP/0fc2oVUZzqvr/w/ikcWYXbXsbSq0YCEtCTGL5nF1BXz8j1GYZE0733sdRtSfPQLnHnlOZy/bsIcV47Yx0dCVkI61+CnU6MHEtakOeay5XD9/hvOLYEenzGP9MO1dxdpq5ZhLhNPsZHPYa1RB++pEyS+OZm0VYW8h/FfsF9zHfYatUhd/z2u3TvzLXNsaH8czW7CEl+OjG1byPhlEwBFew3AuXsnKcu/xlK2HCWf+Q/2WlfjOXmC06++SMryr//JqlxxFNv/TXS/kdiuaYhr1zZS/rA2x/lKmDAEW8NmmEvH4961Dde2QE/tyId7496/m4y1yzGVKkuRQeOwVKuF98xJkt55lYy1f28ttFAR/sgwLLXq49m7PWhtDgB/ShLpSz/GGB2LtX5zIoe+RMrUMbh/+zG7TMorT2K59gZMpcri2bsdz85AIjqs7aN4D+3FvXEFxhJxRPQajalSTXyJp0j7eCruDSv+qWpeNtYHBmKqdh3egzvwrFqIwRENgLFsVbw7N+F8eyxkfncw1WqMrfuzWNs9QcbL/bPfw/nOWEy1GmMoFofv4A58+wKjYyy3dcF/bC/eX1djKFoG68PDMZargf/cadyLp+P9dfU/X+HLyGgx43Pmvw6iL3N9RKPdlr1tw4N9KXnHzTgql+fsT7+SsC4wnWj1UY+T/NsOjn36FeGVylH3rReJqX8NGUeOs23UCxxbtPTSV0ZERERErhghleAoSH699M+ePUvZsmXzLZ81aiMlc95sgPr165/38f7OiI0/OnfuHJUqVcp3X9b5JScHejJlLTD+xRdfUL9+fe655x6OHz/OsmXL6NGjBxMnTqRt27b/8zkVJh6PhzFjxrBgwQLi4+OZNm0aVmvgIfWECRNYtmwZQ4cOpWfPntmv+frrr3nsscd4/PHHmT9/PhBYCH7//v3Mmzcvz1RicmVLdzuxmvKfLsmWmaxIdQVGWaS7nFij8v9sbZa8ZbMs37GR5TtyeiWXjIplQIsHGLZgChluJ+92GUOt0hW5/62RXB1XhSkPDuG3o3tYsXPT/1y3K1X6D6tJfHMyMT0eo+R/Xs/Z/tN6kj55j5iuffBlZOR9zbq8a9lYKlcn/MZbODV6IADFRk7AYLdzctRjhDVqRrFREzm6dweewwcvfYWuUFF33gNA0qfz/7Rc6urv8vxurVqDiJtv5ejQwAO5kuOex2izc3RwXxw3NKfU+Bc5sGsH7kMHLs2JhwDF9m8ymogZ8BThLe/Gc+wwCROHwt/s/AHg/HE1ucfTmStWxX79zSQ8NwSAIoPHYbDZSRg/CHv9GygyZDwn9+/Ce7QQXheMJhzdhmNrdifek0dIfm1kYH2OP3BvWo17U+BBecbSuUSNnoaj12jODm0PrpzrrvuX78mdzjeVq4K1fgtSXg2M/ojoPQasdlJeHo7lmiZE9H6acwf34Dtx6JJW87IxGrG2G4S54W34Th/FNetp8HryjLx0LX4rO7kB4N26Hu/uXzBVuRZDsTL4c01v6d26Ps/bG8pUwnR1M5zvjAXA2nEEBosN59tjMF3VEGunkWS8uBf/6SOXuKJXDm96BgZrAdNZZn5P96bm/c514su8U3tF1alB6Ta3seHBPgDUnfFfTGFh/NiuNyVva07dt18i6bffSd29/+JXQERERESuSCE/CVdBvfQ9Hk/2A+0/ytrudAZPSfNP8Pv9eL3e8z4/l8tFfHw8w4YNY86cOQwfPpzJkyczf/587HY748aNIyEhId/3+jdKT0+nX79+LFiwgAoVKvDee+9RsmRJIDDN2eLFi4mLi6NHjx55Xnfrrbdy4403smXLFnbv3s327duZOXMmjzzyCLVq1bocVZG/KTEtmegwR777srZnTVWVmJZMmNWO1fz/7N13eFTF28bx7/b0Rm8JPSF06UUBUaTZfiC8KkWQIgpiBSxYsGEDFRAEpQkoFkRUREUQBJHelN4CoSXU9GTb+8eShTUJoCZCwv25rlyaOXPOmZksJ5t9ZubJ+Qd3qJ9v3bw826EPCcmnmbLia8ICgulSvzVv/jSbBVt+5eXvp7Hh4E4eatX133SpUEj6fCZH7ruDU++9xukPxnLssX4kDHvAm1Dcdfriz6mwvg+RtWMr6at/xVK5GrbYOpyZOp6MNSs5PeFNXMnJBHXq8l905aoV2KIVrvQ0Ulcu/1vnFX9gCBl/biFt5XKsVavjX6suJye9R9qqFSSOHY0zKYnQO+8qoFYXDhrbv89gtRHxzJue4Mbhg5x8dhCuUyfy9R4h9w7CvutPMtevxBxVFWt0bZJmTSRzwyrOfjgWV0oSge3uyNd7XhWsNoKGvuYJbhw7RPLoh3GfOXnJ05xxu8j87UeMIeGYq178vYv///rj3LcN++ZVmMpXwVylJulfTsa+dTVpc8bhTkvG1vrW/OrR1cViw9bnRU9wIzGezIlP4s5OzH5ue0q3w4772IEcp7oO7wPAUKzsRW9h7XAfroM7cG1fg6FMJUxRNbB/Px3XjrXYv54IaSmYm3XM125d7exnkrCEBOd6LLs8e6uqvESPfIQz6zaT8MMygmtGE96oHjtGjSXxp+X8OfxV7GeSiLyvW763XURERK5NRoOxSHzlB4fDwfTp0+nYsSN16tShbdu2TJgwAbs9911R/iozM5Px48dzyy23ULt2bW666SZeffVVkpKS/nXbCnWAw+Fw8PTTT/P555/nmKXv5+eX5wBnnVsCndv2UP8Fg8GAxWK5ZPuyE4rfdddd3tUaF6pevTq9evUiPT2dn38u2tszXK6zZ8/Su3dvli1bRmxsLHPmzPFuNwVw8uRJsrKyqFSpUq7JwqtWrQrAkSNHWLx4MQ6Hg48++ojo6Gjv10MPeWbpjh8/nujoaObNm/ffdE4u266Eg5QKicDPYstxrFLxsjhdTnYnHPLWBahYrEyudQF2Hs975nVkRGn6t7idlxZOxe50ULl4Wcwms/f62feoUqLcv+pTYeE4epjkr+eS9NkMMjd7VrnYomNxu1zYD+7L8zxrbB0Cmt7Amame1R+Wcp7E7vbs1RouJ46j8VjKVijYDlzFbDGxmEuUJO33lbgzMy59wjl+teoS2LI1Jye9B4C1QhQAWdkrCpxO7EfisZTT2GpsL58hMJhiL7+PX8OWZO3dwYmn+uM8cTxf72GJro1fo5YkzZ4EgPncv3/nkXPPV5cT5/HDmMrkvmK3sDIEBBEy/F2sdZvhOLCLpFcexHUqwaeOuXpdLPVb5nq+68QxAIzBYXnew1ylJtZ6zUn78kNP3dKeMXQeP7dNq8uJK/EIppJF8HeXfxC2QW9gim2CK343GeMfw30m8fxxeyausyc82yvm8l4Rk8lbLy/GqBqYYptiXzTd831xzzi6sldruFy4Th29ZJCkqEndcwBbyWI+21Bl869YDrfTSerevN9zhTWuR6n2bdjx0jsABFbxPHOzz3E7naQdOERgpcgCaL2IiIjItW3UqFG89tprhIWF0atXL0qVKsV7773H448/fslz7XY7/fr1Y9y4cZQsWZKePXtSpkwZZsyYQb9+/byfhf9ThXbPnfT0dIYOHcqyZcuoWLEi06ZN887SBwgJCfFu8fRX2eXZW0EVlGnTpvlsgwXQtGlTGjVqRGho6CXbl1v+kL+KjY0FuGTekGtBZmYmAwcOZPPmzTRu3JiJEyfmGMPQ0FAsFgsHDhzI9RpxcZ4/kEqUKEHjxo0ZPHhwjjr79u1j4cKFNG7cmMaNG1OjRo1874v8Oyv2bObG6IZcX7UuP20/vwe5zWylaaVa/HlkPymZad66fZvfSqtq9dl13HeLk9bVr+NMWjLbc5nBme35TvcTd+oYM35fCIDZaD73X5O3jp/ZWuTzXoYNeISgjv/jSO/bcZ097S03hkdgq1mPrF3bcCXnHZUP7zuYjI1ryNh47ud17gMkg+n8OBqstms6gahfrboApG+8vKTN2YoNGkrautWkr1vtKchlbI1WG06Nrcb2clmsFBs5Bmt0bTK3rufUK0/gvsRKt38ipMcgMresI2vLWk9B9rhe+FywFLHngsVK0KNvYK5SE/uOjSS/MwIy0nJUC+w7HGPxMpwZehvuVN/3k+ZIz2QNZ0LeWx/5d+mPfdt6HNs9OQ0M535nGS743YXFWrTGFsBswXb/S5iiauDcs5nMqc9DZs7xde37A3P91hir1MG1e6PPMWP5aridDlwXmfxg6dAH5+5NuHZ78sh4X7MXjK/BbPXZDutacOr39RRv1ZSI5g05sWSlt9xosxLesB7J2/fgTMn7WRIz8lFOLPudk8s824EZzJ7xNJoveObabNfcuIqIiIgUtA0bNjB37lxuueUW3n33XQwGA263mxEjRjB//nyWLl1KmzZt8jx/5syZrFmzhvvvv59hw4Z5y0eNGsXs2bNZuHAhd9zxz1fmF8oVHJeapQ9QsWJFTp48SUZGzpmYhw8fxmg0EhUVVaDtnDZtGuPHj/f5Wrt2rbd9CQkJuUao4uPjMZlMREZ6Zh/t3r2b3377Ldd7ZPfPZss5E+paM2bMGDZu3Ej9+vWZMmVKrgEim83GjTfeSHx8PB9//LHPsZUrV7J06VKqVKlCTEwMTZo0YciQITm+OnXqBEDjxo0ZMmSIAhxXodlrf8DhdPBCp34+W0893b43of5BTF4x31s2f/NyktJTGXZzD8IDQrzlfZp1JrpUFB+uXJDnH8rVSlagV5MOvPDdhzhdTgB2JxzC6XLStHItAExGEw2janhXihRV9gN7MQWHENz5gi2kzGaKPzkKg8XC2U+m5nmuX/3G+NVv7F29AXjzFdhi6wBgDArGXD4Se3wRzWNwGWzVYwDI2PbHZZ/j37AJAQ2beFcYAGTFHQDOf6hvDA7BEhlF1kGNrcb28oT0fBBrjbpk7djCyVGPFEhww1qnEbY6DUmaPdFb5jjsGUdrtCcXmiEwGFO5SBxFKP9GQJcBWKrVxr57K8lvP5FrcAMga+1SDGYz/l0H+JRb6jbD0qAVjkN7ce7fkeu55hoNsMQ2IH3eh94y5zHPGJqreLa1MgQEYSpVAWcRy79h6dgXU6WaOA/8SeaUZ3INbgA4zk1asHbuB7bzK75N9VphqhjrybeRmnvQ3litHqZq9byrNwBc51Z1GqM8zxr8gzCUKIf7xLU1Qenw3G9wORxUf2owxgtycVR94gEsocEcnD43z3OLtWpK8VZN2Xlu9QZA6u79AIQ18jxzLWEhBFWtqPwbIiIiIvls9uzZAAwePNi7I47BYOCxxx7DYDDw+eefX/L8cuXK8eijj/qU9+3blzvvvPNff65d6FZwXM4sfYAGDRqwevVq1q1bR8uWLX3O37RpE1WrVr2sFRL/xvLlee/j3aBBA9atW8f69etp1qyZtzw9PZ0tW7YQHR3t3aJq5MiRbNy4ka+//pqYmBif66xf75l5V6tWrQLoQeGRmJjo/cdWuXJlpkyZkmu9AQMG8PTTT7NlyxZefvlllixZQmxsLAcPHmTx4sX4+/szevToXLevksJj1/GDvLV4DiNu6cXGp2fyzZYV1Cxbic61W7Jiz2amrPzaW/d0WhLDvhrPpHuGs+mZmXy2/mfKhZWgW4O27Dwex6uLZuR5n1G3DmDH8Tg+XfeTz/Xmb17OsJt7UCwwlNjSFSkfXpJxSy/+sC/sUhcvJPi2boTe9yCWqjE4jsbj37AZ1irRJC+cR/qKJXmeG9Z3MOmrV5C5bbO3zL53J5k7/yT8gcexVKqGX+3rMBhNpHx78QTQRZml/F+27boMxQYNJfW35WRs3eQty9q9g4ztf1D8kWFYq1bDv15DMJo4+9Vn+d7mwkJje/mMYcUI7OjJKWQ/dIDg//XKtV7ylzPA/s+XGYf0eICMdSux79jqLXPs303Wnu2E9B2KOaoKtpr1MRiNpC366h/f52piCI3A1vZOAFxH4/DvdG+u9dK/m036d7Ow1G2OX5s7MJWvgmPPH5hKlcdSrwXu1CRSJ72Y530CuvYna/MqHHvOB/ScB/fg2L+DgLsHYypfGXN0XTAayVy6IH87eSUFh2Nu4ckp4j5+CMuN3XOtZl/yKa49m7Av/wrLDXfi98RknFtXYAgtjqlOS9xJp7AvmJTnbSwd+uDcvgbXgW3eMveRfTgP7cJ620AcpSthqlIbjEYcqxbmbx+vcql79rPvvalUfWwA16+Yz/HvlxJcoyql2rfh1Kr1HJye97My5rlHSfhxGafXnF9Rk7R1B2c2/EHsq08RUjOaiOYNwWQiblregRIRERGRv8NQONcG5Lt169YRHh5O9erVfcpLlSpFxYoVvRP6c7Nnzx4OHz5Mz549sVh889+WL1+e0aNH/+v2FboAx19n6fv5+eVa79Zbb+WDDz5g/PjxNG7c2JubY9KkSaSkpNC9e+5/1PxXbr31VqZMmcK4ceNo0KCBt30TJ04kLS2Nbt3OJ8dr3749Gzdu5J133mH8+PGYzZ4f27p167yJtFu0aHFF+nG12Lx5szenyZdffplnvd69e1O6dGm++OILJkyYwNKlS1mzZg2hoaF07NiRwYMHU6lSpf+q2VKAnpr/PodOH+fBG7ow9MZuHEs6xZjFn/Didx+S5fDNf/PBr19xOi2ZYe168FCrLpxKS2LG7wt55utJnE7LfYZmnXJV6XZdW7pOeTrHCo/7P36FD+4ZQe+mHTmZcpb7P36F3/ZtKbC+XhVcTo4Pf5CwPg8S0KwV/o2aY4+P4+Tbo0j5Pu8PH/2b3YAttg5HH7g7x7HE5x+j2OPPE9y5K46EoySOegLHsSMF2YurmikkFFdmJs5LJGvPFtiyNf616nKwd84E10eHDaXkM6MIvbM7jmNHOPbUoziO5r2dTVGnsb181uhaGCye9yyBN9+WZ72Ubz7B/Q8DHLZGLbFG1ybxsZzBk1OvPUnY4GcJbP8/nAnHOPX6CJwJReO5YK5S0zu2ths651kv48fPcaelkPTqg/jf3gdro9b43dwVd0oSWSsWkj5/Wo6cHdks9ZpjrlKTs8/fn+NYyrhnCOwzHFub23GdPE7KhJG4ThzNn85dBUxRNTCYPeNrbtI+z3r25fPAYcf+9URcR/ZgbnE75uadISMd54al2BdNx3069/E1xTbFFFWD9LEP5TiWNf1FrN0exdy8E+7TCWTNeBn3qWP507lCZMcLb5N++CgV+91DpUG9yDyeyL7x09g1ejyurNzzE5Zs34bwRvX49Yb/5Ti27t6HqDP+ZSL7/h/phw6zvufDpMddWytjRERERApSVlYWx44do27durkeL1euHPv37+fUqVNERETkOL5r1y4AqlWrxrJly5g4cSLbt28nODiYzp078/DDD3sn+f9TBnch2qQ0MTGRNm3aYLfb6dKlC2XK5EwKDJ5Z+jabjbfeeospU6ZQpUoV2rRpw549e/jll1+47rrrmDFjhjeo8Ffx8fG0bduWtm3b8v7771+0TQ6Hg5o1a1KzZs2/nWz69ddfZ+rUqVSrVo3WrVuzc+dOli9fTqNGjZg6daq3fVlZWfTu3ZsNGzZQvXp1WrRowZEjR/j555/x8/NjxowZ1/wKDrl6GQY1vdJNKLIO7Lr8ZMjy92Sl5P4hi8jVLLB04JVuQpHmF67tQAuKXzH/S1eSf2TJlKK1Rd7VpnPSzivdBBERESlA8SmTr3QT8kX5oAGXrpSHhIQErr/+elq2bMlHH32U4/gjjzzC999/z48//phrOojp06fz2muv0aZNG5YuXUqrVq2oVKkSa9asYdu2bTRo0IAZM2bkWN3xdxSqFRx/Z5a+zWbj8ccfp0yZMsyZM4eZM2dSokQJ7rvvPgYPHpxncOO/NGzYMMqUKcMnn3zCjBkzKFGiBH379uWhhx7yaZ/VamX69OlMmjSJ7777jlmzZhEcHEz79u15+OGHCzyXiIiIiIiIiIiIiIhcWxwOB0Cen6Vnl2dmZuZ6PD09HYClS5fy0ksveXctcjqdPPbYYyxatIg5c+bQu3fvf9zGQhXguOmmm9i58/JnyRgMBu69917uvTf3PYzzUr58+cu+j9ls/lttupDBYKBXr1706pX7/tUXstlsDB06lKFDh/6je4mIiIiIiIiIiIjI5TEalIMjOz1E9qKDv8rK8mxN7O+f+6pso9EzhrGxsT4pGUwmE8OGDWPRokV8//33/yrAoZ+SiIiIiIiIiIiIiIj4CAoKwmg0kpKSkuvx5ORkAIKDg/M8HzwBjr8qV64cISEhHDp06F+1UQEOERERERERERERERHxYbVaKVu2LPHx8bkej4+PJzw8nLCwsFyPV6xYEch7BYjD4fCuEvmnFOAQEREREREREREREZEcGjRoQGJiIvv37/cpP378OHFxcdSrVy/Pc+vUqYPVamXt2rU4nU6fY3v37iUtLY3o6Oh/1T4FOERERERERERERERELmAwGIvE1791xx13ADB27FhcLhcAbrebMWPG4Ha76d69e57nBgcH06FDB44cOcLkyZO95Xa7nTfffBOALl26/Kv2Faok4yIiIiIiIiIiIiIi8t9o3rw5HTt2ZOHChXTv3p0mTZqwceNG1q1bxy233ELr1q29dceNGwfAkCFDvGXDhw9n06ZNvPPOO6xZs4aYmBhWrVrF9u3b6dixI23btv1X7TO43W73v7qCiMhFGAY1vdJNKLIO7Mq40k0osrJSct8bUuRqFlg68Eo3oUjzC7dd6SYUWX7F/K90E4qsJVPirnQTirTOSTuvdBNERESkAB1Nm3qlm5AvygT0/dfXsNvtTJ48ma+++orjx49TtmxZbrvtNvr374/VavXWy95uaudO3/dJp0+fZsKECfz000+cOnWKcuXK0bVrV/r06YPJZPpXbVOAQ0QKlAIcBUcBjoKjAIcURgpwFCwFOAqOAhwFRwGOgqUAh4iISNF2PG36lW5CvigVcN+VbkKBUg4OEREREREREREREREpdBTgEBERERERERERERGRQkcBDhERERERERERERERKXTMV7oBIiIiIiIiIiIiIiJXE4NBawMKA/2URERERERERERERESk0FGAQ0RERERERERERERECh0FOEREREREREREREREpNBRDg4RERERERERERERkQsYlYOjUNBPSURERERERERERERECh0FOEREREREREREREREpNBRgENERERERERERERERAod5eAQEREREREREREREbmAAdOVboJcBq3gEBERERERERERERGRQkcBDhERERERERERERERKXQU4BARERERERERERERkUJHOThERERERERERERERC5gNGhtQGGgn5KIiIiIiIiIiIiIiBQ6CnCIiIiIiIiIiIiIiEihowCHiIiIiIiIiIiIiIgUOsrBISIiIiIiIiIiIiJyAYPWBhQK+imJiIiIiIiIiIiIiEihowCHiIiIiIiIiIiIiIgUOgpwiIiIiIiIiIiIiIhIoaMcHCIihVRWiv1KN6HIykp3XukmFFmVbo680k0ostIT0q50E4q00HaVrnQTiqzvH1h9pZsgIiIiIpKD0aC1AYWBAhwiIiIiIiJFVOeknVe6CSIiIiIiBUZhKBERERERERERERERKXQU4BARERERERERERERkUJHW1SJiIiIiIiIiIiIiFzAoBwchYJ+SiIiIiIiIiIiIiIiUugowCEiIiIiIiIiIiIiIoWOAhwiIiIiIiIiIiIiIlLoKAeHiIiIiIiIiIiIiMgFjFobUCjopyQiIiIiIiIiIiIiIoXOFQlwJCUlXYnbioiIiIiIiIiIiIhIEZFvAY62bdvy+uuvX7LeE088QceOHfPrtiIiIiIiIiIiIiIicg3Ktxwchw8f5uTJkxetk5KSwp49e7SCQ0RERERERERERESuWgaDsjsUBv84wNGtWze2bt3q/d5gMPDNN9/wzTffXPLcGjVq/NPbioiIiIiIiIiIiIiI/PMtqkaOHInJZMJoNGI0nr9M9vd//TKZTPj7+1OjRg1efPHFfGm8iIiIiIiIiIiIiIhcm/7xCo7atWvzxx9/eL+PiYnhtttu44033siXhomIiIiIiIiIiIiIiOQl33JwvPjii1StWjW/LiciIiIiIiIiIiIickUYlYOjUMi3AMf777+PyWRiyZIl+XVJERERERERERERERGRXOVbGOrUqVPUqlUrvy4nIiIiIiIiIiIiIiKSp3wLcNSpU4ctW7aQmpqaX5cUERERERERERERERHJVb7m4Bg8eDB33HEHd9xxBzExMYSGhmI05h5Due666/Lr1iIiIiIiIiIiIiIi+caQf2sDpADlW4Cjc+fOGAwG3G4348ePv2hdg8HAtm3b8uvWIiIiIiIiIiIiIiJyjcm3AEejRo3y61IiIiIiIiIiIiIiIiIXlW8Bjo8//ji/LiUiIiIiIiIiIiIiInJR+Rbg+Cu3283Zs2exWq0EBAQU1G1ERERERERERERERPKV0aAcHIVBvgc4VqxYwUcffcSGDRvIysoCwM/PjyZNmnDPPfdwww035PctRURERERERERERETkGpOvYagJEybQv39/Vq1ahQV142IAACAASURBVMPhoHjx4kRERJCZmckvv/zCwIEDL5mAXERERERERERERERE5FLybQXHihUrGDduHGFhYYwYMYL27dvj5+cHQGpqKosWLeKNN95gwoQJNGrUiCZNmuTXrUVERERERERERERE5BqTbwGO6dOnYzab+fDDD6lVq5bPscDAQLp06UJ0dDTdu3dn5syZCnCIiIiIiIiIiIiIyFXJkL+bH0kBybef0tatW7nuuutyBDcuVKtWLRo0aMDmzZvz67YiIiIiIiIiIiIiInINyrcAR1paGuHh4ZesFx4eTlJSUn7dVsRHYmIizz33HK1ataJWrVq0aNGCJ554gkOHDl30vFmzZhEdHc28efNyHMvKymLSpEl07NiR2rVr06BBA/r06cPq1asLqhtymcqEFufMmMUMvbF7rsd7NunAhqdnkPLOUg69uoC3uwwl0Oafa92OtZrz25NTSBr7M8ffWMiHPZ6mRHDOZ1rTSrXY+PRMUt/9hdXDP6JZ5do56lhMZva//BVvdXn433XwKmQqXoLKP/9O2P/19Cmv+NWPVFv950W/gjvd4a0feH0bor5YSJWlayk3YSqWipVz3MsYGkblJasJveueAu/X1cBcoiQxK9cS0aNXrseDWrSk4kczifltHdHLVhE5cQp+NXNOKghu3Yaq3ywi5vf1RH04HWulnGNrCgsj5rd1RNzdI9/7cVUJDsfS5WH8Rs7G//Xv8H/+U6z3DMcQUTpHVWN0Q2yD3sT/la/wH/U5tv6vYKxQPUc9U82m+I2Yhv+rX2N74A0MJSvkvG9gCP6vfIW55e0F0aurgiE0gsD7niDsnS+JmLaU8HFfE/TASIwlyvpWtPnh/7++hL0+m4iPfibsrbn4dx0ANr8c17TUb0HYm58QMeVHQp56F1PZqJz3DQolfPIP+N3cpaC6dlU4k2bnle8PcMt7m6j/yho6T9jMRyuP4HC5feqlZTkZtzSeTuM3U/+VNdzy3ibe+fkQaVnOHNdcsvM07cdtosGra+kzYzt7E9Nz1DmdZqfRa2uZtfpYgfXtamErXZJbDq2j0oO9cz1e7u7buf7Xr2h/dCNtty8j9tURmAIDctQr1eFG2mz8gfZHNtD0mxkEVc/5zLVEhHNL/HoqDiziz1wRERERkSsg3wIcZcuWZcuWLTidOf+gyuZwONiyZQtlypTJr9uKeCUmJnLXXXcxd+5cqlSpQs+ePalduzbffvstXbt25cCBA7med/jwYd5+++1cj7lcLgYNGsTYsWMxmUzcfffdtGvXjk2bNnHffffx/fffF2CP5GICbf7MGziaUP+gXI+PuKUXM+97HqPByLhfPmdz/G4eu+lufhzyLhaT7+58/9fwZr57aAwlg8OZuPwrluxcz33NOvHbE5N9ru9nsfHVwNeJCAxh4vJ5BNkC+GHIO5QKifC53oCWd1AsMITRP8zM/45fQQb/AMq8/i6moOAcx87M/ZiTUybk+Do18yPcTieujHQyt20FPEGS0q+8jdtu5+xXn2GpEEm5dydjsNl8rhnRux+u5GSS5n/+n/TvSjL6B1Bh7HuYgnOOLUB4l7uImvgh1sgozsz/kuRflhDYoBGVZszxCXKYS5Sk/Jvv4LbbOf35Z9gio4ia9GGOsS1+/wCcyUmc/mJugfbrigoOx2/oOCzNO+M+fhDHr/NxHtqJqX4b/B4Zj6H4+Q/iTU064DfgVQwlyuFY8wPOP1dhrFIH2+AxPkEOQ0gE1p7PgtOOY9V3GEqUwzbgNTBbfW5tubE77vRUHKsW/mfd/S8ZQiMIfWEKfm3vwHkkjowfPsexbzvWZjcT+uIUjKXKeyoaTYQ8/iYBd/bFdeYEGT99iTPhMAG39yL06fFgOT9uhrBiBA8ehdvhIGPJAoylyhP85BifOgD+t/bAnZpCxtIF/2WX/1OpmU56TNvG7DXHqVrCn3salSbYz8zbiw/x8NxduN2eIIfD5WbQnJ1MXH6YksFW7mlUmgrhNiavOELv6dvJdLi810xIzuKxz3djMRnp1qAkcacy6D9rBxl2l8+9p6w4QrCfmW4NSv6nff6vmQIDaDh7HJbQ3J+5VR4bQP0P3sBgNHLgg1kk/bGDyoP70GT+RxgsFm89W+mSXDfjHVxZduKmzSWwShRNvvoIo5/vM7fqY/1xnE3i4LQi/MwVEREREblC8i0HR9u2bZk2bRqvvfYazzzzDAaDwee42+3mtdde49ixY9x3333/6l6JiYmMGzeOZcuWcfLkSUJDQ2nWrBlDhw6lQgXfmZTz589n+vTpHDhwgJCQEDp06MDDDz9MYGBgntd3uVx069aNkiVL8v7771+yPQ8++CDHjh3Ldfb/pcybN48ZM2YQFxdHaGgoHTt2ZMiQIQQE5JwhtmnTJsaPH8+mTZswGAxER0fz4IMP0rx5879936Jo3LhxHD16lBEjRtCnTx9v+YIFC3jyyScZPXo0kyZNynHec889R1paWq7X/P7771mxYgXt2rVj7NixmM2efzL9+vWja9eujBo1irZt22K1WnM9XwpGZERp5g0cTYPImFyPVwgvxahbB/Db3i20GjMIh8sTeH2xc3+e63Q/A1rewYRlXwCeQMn47k+wNzGe+q/2IjnD81r4cdtqpvZ6lmc79OHJeeMA6Fy7BaVDi9Hk9ftZc+BPxiz+hIOvzufeRu0Z8/McwBMEeabDfby39HNOpJwp6KH4z5hLl6HM6+/iF1Mz1+NnPv041/ISTz6LwWQi4Y3Xydq/F4Dg9p0xmM0cHtIP54lEUpb8QIWPPiGw+Q2kLP0J8ARBQrv8H4ljRuO22wumU1cJS5myVBg7Dv/Y3MfWUroMpYc9TcbePRzo0wPnGc/r6vQXc6k08xNKPfoEcf3uAyC0k2ds4wbejyMxgaSfFlF51lyCrm9F8uIfAU8QJKLb3Rx749UiPbaWdj0xhpck6+sPcCz/0ltuuu5GbPeOwHLbQLKmPo8hrATWOwbhOhZHxvuPQ6pnlalx1UJsQ8Zi6dSPzEnDzp3bFkwmMj8YgTvpFM7Ny/Eb+h6mGo1xbl0BeIIg5ua3kjV/IjiL5vgG3NkXU/FSpM4eR8ai8x/YWpvfTPCg5wm8ZzDJY0dga9UJS436pH//KWlzxp8/v9tA/G/tia1VZzIXe9472Zq3A7OZpNcfwX3mJFlrlhL6wgdY6zYja90ywBME8Wt7J6mz3gVH0RxbgMkrjrDvRAZPtY+iZ5Pzq42e/HIP3/1xkuW7z9CqejjzNiayNi6Z3k1LM/yW86tdxiw+yIcrj/LlhgTuaew5/5stJ3C43HzUM4aSwVba14zg7o+2sXz3GdrFeoL0CclZfLo2gafaR2E1F929hv0rlKXBrHGE1c99W12/8mWIfuZhTq3ewKoOPXE7HABUf+Zhqg9/iKg+3TgweTYA5brditFi5vfb+5J5LIGj8xfR8ufPKNmuFccWeJ65ttIlqdjvHv4c/gqurKL7uhUREREpioyGovu+uCjJt5/SgAEDKFGiBLNnz+a2227jvffe48svv2TevHm8++673HrrrcyZM4dSpUrRv3//f3yfvzNL/4MPPmD48OG4XC569OhBTEwM06dP5/777ycrKyvPe7z88sts3br1strzwQcf8PPPP/+jvkyYMIGnnnoKg8FAjx49qF69OlOnTqVfv37Y//Kh09KlS7n33nvZsmULnTt3pmPHjuzcuZO+ffuydOnSf3T/ombx4sVERETQu7fvVgO33XYbkZGRrFixApfLd6bil19+yYoVK7jhhhtyveaPP3r+OB0yZIg3uAFQpUoVOnbsyKlTpy77tSL5Y+iN3dn67GzqlqvKzzvW5lpn4PV3YjGZeXXRDG9wA+DVRTM4m55Cvxa3ecvubtiOYkGhjP35U29wA2Daqm/ZcewA9zXr5P2FVqmYZ8b35vjdABw5m0hi8hkqFT+/Km1I67vws1h5a/Hs/Ov0FRb2fz2JnDMfW9Vo0tb+ftnn+TdoTFjXu0lbv8ZnFYalTHmcZ07jPJEIQOauHQCYy5bz1ono8wCOxESSvv0qn3pxdYro0YsqXy7Ar3o0KatX5Von7H9dMfr7c2z0K97gBkD61i2cmPYRGTt2eMus5crjOH0KR2ICABk7tnvLs5UY8AD2xAROz//7QfnCxFy7Be7kMzh+9e2nc8MSXCcOY4puAAYD5ibtMVj9yJr/vje4AeA6uAPH0s9xHdnrLTNElIaUs7iTTnnqnDtmKHb+Q2jzTffiTjqJc+0PBdm9K8ra8AZcSafJ+OEzn/Ks337CeTweS+3GYDBgKlUeV9Jp0r+d5VMvc9ViACxVzwf1TCXK4k46g/vMSQAcBz3PWWPJ8yttAm6/D9eZE2QuL5orY7IdOZNJ6RArdzcq5VPeoVYxADbFpwAQdzKD8AAz/Vr6bgvWqXZxn3oAh89kEh5goWSwZ0JGTGnPRJ/4M5neOpOWH6ZEsIU765fI5x5dPSo92JsbVn1DSO0YTvyS+zM3qk93jBYLe97+wBvcANjz1iTsZ5Op0Osub1lAxfJknjhF5jHPMzdpi+eZGxB1/plbbdggMo4lcGhW0X7mioiIiIhcKfm2giMsLIxZs2bxyCOPsG3bNnbv3u1dxZG9lD42NpYxY8YQERFxsUtd1OXO0j9y5Ajvvfce9evX5+OPP8Zybjn5u+++y/vvv89nn31Gjx6+++BmZGQwcuRIFiy49LYHTqeTN998k2nTpv2jfhw6dIgJEybQoEEDZs6c6f3wfMyYMXzwwQd88cUX3H333QCkpKTwzDPPEBERwZw5c7yrVO6//35uu+02Ro8eTZs2bf5RO4oKp9PJwIEDMZvNGI0543ZWqxW73Y7dbsd2bquWhIQERo8ezZ133klMTAzLly/PcV6HDh2oVKkSlSpVyvWaQJ6rP6RgPHLj/xF36igD57xO9ZKRtI1plKPODdXqAbBs90af8kxHFqv2baV9zWaE+AWSlJHqrbt01/oc1/ll1wYeuOF/1CpbmS2H93A6LRmAIJs/mY4s7/+fTU8FINgvgGHtevD24k84c65uURDWvSeOo0dIGP0ilsiKBDRqelnnFX/4SdxOJ4lvveJT7ko+i9HvfC4UY6BnGzBXiufDOHOZsoTe3oXjLz8LF9n2sCgodm9v7EePcGTU89iiKhLUpFmOOkEtrsdx9gypa3IGlxLeG+PzvTMpCaP/+RWAxqDssfW8Hi1lyxH2v64cee6Zoj22BiP2nz/x9NHtznncYcdgtoLJjDGmEe60JFx7NuWoZl841bcgPRmsF+SO8PN8SOw+9wwwhJfC3KQ9WXPHwF8C6kWGwUj6go9xOx25jq3bbsdgsYLZQtqn75P2ac6VsKYyntUGrrOnvWWu1GQMF+RIMpx7HbvTPM8FY/HS2Fp3JmXKa+Aqwq9d4M0uVXMt33/CkzOjWKDnPe2T7SJ5sl1kjnr7/lIPIMTPTLrdidvtxmAwkJLpGcNgmwnwBEC+2JDIy7dXxmw05LhmUVFpUC/SDx1m69DnCaxakeKtcz5zI1p43lecXOE7icKVmcXptZsoedP1mEOCcCSlYD99FvMFq67NwZ5nriPJ88z1jyxHZK+ubH7oGdxF+ZkrIiIiInIF5es6m8jISObNm8fHH3/Mww8/TPfu3enWrRtDhgxh5syZzJs3j4oVK/6re1zuLP25c+ficDgYOHCgN7gB8MADDxAUFMTnn/vu6f7bb7/RqVMnFixYQMuWLS/ahq1bt3LHHXcwbdq0S9bNy6efforT6eSBBx7wWRkwaNAgAgICfNq3cOFCTp48yaOPPuqzBVdkZCSDBw+mWbNmpKfnTBR5LTGZTPTu3Zt77703x7G9e/eyb98+IiMjvcENgBdffBGLxcKIESPyvG779u155JFHfF5D4Ek8vmyZZ8uMqlVz/yBCCsbA2aOp90ovVu3Le+VMleLlOHb2JCmZOYNPB04eBaB6qUhvXYB9J45csu7qA38CMPyWngTa/BnSphtBfgGs3LsZgMfa3oPb7eadJZ/+0+5dlRJGv8jBnl3I2JrzA+C8BLfrhF9MLMk/fEvWvj0+xzL+2IIxMJDQbvdi8A8gvEcf3C6X9/rF+j1E1qE4kn/4Ll/7cTU68tLz7L3rDtI3b8yzjq1KFbL278dcvATlXh5N9C+/UWP1BqImfohftO82bWlbNmMKDCTinp4Y/QMoft/9uF0u0jZ7xrbEoMFkxcVxduG3BdqvK87twvHrfBy/fZPjkKFkBQwlK+A6cRgcdoylonAlHMIQHI71/57E/8XP8H91AbYBr2Io65ss2BW3A4NfAOaWd4DVD0vru3C7XLjiPLO2Lbf0xH3iMM6NS/6Tbl4RbhcZP35O5s85V1cZy0RiKhuJ83g82HOulDUEBmNtdjOB9z2GKzWZjJ/Pz2h37P0Tg38Afu26gs0f/4734Ha5cOz5AwD///XFeSyerFU/FVzfrkJut5uTqXY+WXuc8b/EUybUyq11iuda90y6g2+3nuCl7w4Q4mfyWQFSt3wQaVkuZq05TmqWk6krj2IA6lXwfCA/4Zd4oor50bl2sf+iW1fM1keeZ3mLOzi9Ju9nbmClSDKOJ+JMSc1xLD3usKdOVc/El9NrN2MODqTiAz0xBQZQZWg/3C4Xp9d4nrnVnxpM6t44Dn+W81kkIiIiIiL5I99WcFyoUaNGNGqUc1b1v/V3ZumvXbvW25YL2Ww26tWrx4oVK0hOTib4XELXBQsWkJqayiuvvELTpk1p27Ztnu1YvHgx8fHxDBs2zLtF1t+1bt06jEZjjvb5+/tTt25dfv/9d1JTUwkMDGT58uUYjUZuuummHNfp16/f3773tcTlcvHSSy9586pkW7hwIYsXL2bs2LGEhYX97etOnjyZw4cPc8MNN1CmTJlLnyD55sftqy9Zp1hgKPtP5gxYAN7VFtnJw4sFhZJhzyTDnpmzboZv3a2H9zD+l8958uYePHmzZwXY3HWL+f7PVUQEhvBo2//jpYVTSc30BBwNBoN3BVthlrZ65d8+J+xeTxD69OzpOY6lrviFlF9/oeTjT1Py8acBOPXxVLL27cESVYng9p05NvLJ87PDDYbcZ+EXAam/rbjocWNwMKaAQAw2K5XnfIYrPZ2z33+LuXgJQtreTMUZsznQtzcZ2zwfAqcsW0rysqWUGfEMZUY8A8CJaR+SuWc31oqVCOt0K/HDH78mxjZXBgPWOx/CYDRh/30h+AVisPljMFuxDR0HWRk4NizFEBKBqXZL/AaPJfP9J3Cd25bOue13nH/+jvXOB7He+SAA9qWf4T52AEPJCpiua0vWrFevzfE1GAjs9RgGoynXBOC2Vp0I6vcUAO6MNJLeeBxXwvnntH3jSrI2riSw5yME9nwEgPTvZuOM34+xTCS25u1ImfDCNTe245bGM+lXzzgVC7TwYY8YQv1zvn3/ckMCI7/ZD4C/xciUHjFERpxfbdQmOpzW1cN4bVEcry2KA6Bv8zJUKxnAvhPpfLPlBG91rYrx3Oprl9vt/f+iJPHniz9zASwRYaTHxed6zH5uZYYlxPO+IGHRUo5/v4RabzxLrTeeBWDvOx+SvH03gdUqU677bWzs89g197oVERERKSoMysFRKBRIgCMrK4ukpCScF1mKXapUqTyP5SV7ln5u/jpL/+DBgxQvXpygc9tzXKhcOc+M7f3791OnTh0AunbtyrPPPktQUBDx8bn/UZPtpptuolevXhQrVgzHBXvz/h0HDx6kRIkS+Pv75zhWrlw53G43cXFxxMbGsnv3bu94jRo1ih9//JHk5GRiY2N59NFHady48T9qQ1Hndrt57rnnWLVqFbVq1fK+dk6fPs1LL71EmzZt6Nix49++7vz58xk/fjzBwcE899xz+d1syQcWk5nMPBLQZm8t5We2Xrqu3bcuwJC5b/PVpmXUK1+dbcf2s+hPzx7ew9v1IjUznQnLvqREcDgzej/HzTGNOJWWxEsLpzH+l89zvUdR5Ff3OvxiapL6+0qy9uzKtc7RJx4i8Po2WCpEkrFtKxmbNgBQbMBgMvfsImXJj1jKR1Lqhdfwq1kHR8JxTrz7BilLfvwvu3LFGc/9jvCvUZOU33/j4JBBuDM9wbjg1m2IfG8iZZ9/kX3du3jPOThkEMGt22CNrEj6H1tI2+DZfq3kQw+TsXsnST/9gLVCJOVefQP/2nWwHz/G8bdeJ+mnopszIpu161BM1a/DeXAnjuVfYQgMBcBYvhrOXRvI/Og5OPeMMNVsiq3vKKx3PULG2Ie818ic+hymmk0xFC+H6+BOXPs9wSXLLb1wH92Hc8uvGIqVxXrPMIyRMbjPnsC+4AOcW3797zv8Hwrs8yTWWg1x7NtOxqLPchx3pSSRvvBTjGERWBu2ImTY2yS/9yz2rWu8dZLHDMdSvwWm0hVw7N2GY9cWAAK69MN5aC9Za3/BWLIcQQ+MxFwlFtepRNI+GU/WmqKbi6xsmI0+zcpw6HQGS3aepue0bUzuEUNsmUCfeqEBZno3Lc2JVDs/bTtF/1k7eLdbNVpWPT+JY8L/VWfprjPEncygdrlAGkaFAJ4gSvVSAbSrEUHcqQxGfLWXLfEplAqxMqxdJO1rFu1VHX9ltJhxZeaeq891Loef0e/8iuC13QdRqsONBFaJ4sz6LZxa5XnmRj/zMMl/7OTo1z8QUDmS+pPfIKxhXTIOH2PbM69zdP6igu+MiIiIiMg1IF8DHJ9++inTpk3j4MGDF61nMBjYtm1bvt03t1n6Z86coXz58rnWz161kZJyPvliw4YNL/t+/2TFxl+dPXuWypUr53osu33JyZ5ZYgkJCURERHDPPfeQkpJCu3btSE5O5ocffqBPnz68//77tGrV6l+3qShxOByMHDmSefPmUaFCBd5//31vzoyXX36ZzMxMXnjhhb993c8++4znn38eq9XK+PHjfbYMk6tHuj0Tq8mS6zHbuWBFapZnlUV6VibWkNwfhTaLb91sS3auY8nOdd7vS4VEMLh1V56cN44MeybTe42kZplKdJn8FHXKVWVc98f548heftm14V/3rTAI6ehJ4p709RcXrZf6q++HktZqMQTd2I4jT3g+TC714miMNj+OPDaIwBatKP3SG8Tt3on9UFzBNPxq5Do/0/fYW697gxsAyb8sJXXNagIbN8EaGUXWwTifYxfyi44h5OZbODhkEADlXnsDo58/BwcPJOj61pQf/RZ7du0kK+5AwfbnSjEasd71KObGt+A6cYSsac+D0+GzwiprwWRvcAPA+efvOPdswlS1HobiZXFfsI2d80/ffCiGspUx1bmezKmeoLf13uEYLDYyPxqJqUZjrD2eIuONfbhPHC7gjl4BRhOB9w/D74ZOOI8fJmnsCHDmnPxhX/8r9vWeII8pqjqhz00k6IGRnH7sLsjMOF9v40ouDDmbIqtibdSa5DHDAQga9BwGq43kt4dhrdeMoEHPc+bgHlzHDhVoN6+UrteV9P7/sl2nefCTXYz4ai9fD6rtzXUHcFNMBDfFeHLcbWuWyj0f/cmIr/by49B6BFg9eTYMBgM3Rof7XH/7sVR+3HaK9++ujsFgYPi8PWTYXUy8J5rlu88wbN5eYkoHULFYzgk5RZUzPQODNff3EMZz7yWdqb7vC45/77stXUjtGMrccQtruz8AQP0pb2Ly92fNXQMpdUsr6n/0Fkl/7CB1z4H874CIiIiIyDUm39bZLFiwgBdeeIG4uDhMJhMlS5akTJkyuX6VLl06v26b5yx9h8Ph/UD7r7LLMzNzbknzX3C73Tidzstqn9vtJj09nfj4eEwmEwsWLOC5557jzTffZNasWQCMHDmSrKzcZ5pdi9LT03nwwQe9OV9mzpzpXQGzdOlSvv32Wx5//PG//TocN24cI0eOxM/Pj0mTJtG06eUlWpb/3um0ZEL9A3M9ll2evVXV6bRk/K1+WM05P8wI9fOtm5dnO/QhIfk0U1Z8TVhAMF3qt+bNn2azYMuvvPz9NDYc3MlDrbr+my4VKoEtWuFKTyN15fK/dV7xB4aQ8ecW0lYux1q1Ov616nJy0nukrVpB4tjROJOSCL3zrgJq9dXJeS45uMueReae3TmOZ+z05H6wXiLYWnLwI6Rv3ULKr8uwVatOQJ16HB/3DikrfuXYG6/iTE4ivGu3i16j0LLYsPV50RPcSIwnc+KTuJNOeY6d24bO7bDjPnYgx6muw/sAMBQre9FbWDvch+vgDlzb12AoUwlTVA3s30/HtWMt9q8nQloK5mZ/f8XgVc9qI/jR1zzBjaOHSHrtYdxnTl7yNGfcLjJX/oAxJBxL1VoXrRvQtT+Ovduwb16FqUIVLFVrkvbFFOxbfid11nu405Lxa3NbfvXoqtaqejhNK4ewJzGdg6fzfg8bWyaQ2+oU51Sag03xKXnWA3hvSTx1ygfRqno4O4+nseVwKkNvrMAN1cIY0T6KED8Tn61PyO+uXNXsZ5KwhATneiy7PHurqrxEj3yEM+s2k/DDMoJrRhPeqB47Ro0l8afl/Dn8Vexnkoi8r4g+c0VERERE/mP5toJjxowZGAwGnnzySXr16uWTOLugXGyWvp+fH3Z77tvOZAcDctse6r9gMBiwWCyXbF9AQAAGgwGj0YjT6eTRRx8lJCTEW69OnTp07NiRBQsWsGHDBn3gjmdlTP/+/dm8eTOxsbF8+OGHFCt2fmuFH37wbMEyatQoRo0aleP8p556iqeeeoqZM2fSpEkTwBOQev7555k7dy5hYWFMnjyZunXr/jcdkn9kV8JBWlWrj5/FliO3RqXiZXG6nOxOOOSt27JqXSoWK8Ou4wdz1AXYeTzvFQOREaXp3+J2Hvz0TexOB5WLl8VsMnuvn32P6HOJyos6W0ws5hIlSVn6E+4LZmVfil+tugS2bE38Q30BsFaIAiAre7WG04n9SDyWctfWqil3Rgb248cxFy8ORiO4XL4VLXwgYAAAIABJREFUzgXmXBl5j7V/nXoEt2rNgf73AWCNqghwfrWG00lW/CGs5Yvg2PoHYev/CqaoGrjid5Mx5RlIOXP+uD0T19kTGILDz+2N/5fzTSZvvbwYo2pgim1KxqRhnu+Le7bBdGWv1nC5cJ06eskgSWFjCAgm+Mm3sFStiePATpLefBx30hmfOubouhgCg7FvyJn3wHXyuOc6waF53sNctSbW+i04+9pQAEylPCtzndmrNVxOnAlHMJUslx9duio4XG7WHEgCNzSvknNsyoZ6tkY6k2YnMTmLs+kO2p5bueFTLyy7Xt5bqW46lMyy3Wf4qGcMAHEnPc+RqGKe3B1mo4Hy4TYOXSSYUhSl7jlAsZaNMPrZcGX49t2/YjncTiepe/N+XxDWuB6l2rdh1a2eSVeBVTy/z7LPcTudpB04RGCla+N9gYiIiEhhZigq6dOKXno9H/kWhdi3bx916tShb9+++XXJi0pPT2fo0KEsW7aMihUrMm3aNJ+8HiEhId4tnv4quzx7K6iCMm3aNJ9tsACaNm1Ko0aNCA0NvWT7svOHBAUFcfbsWWrWrJmjbo0aNViwYAGHDh265gMcmZmZDBw4kM2bN9O4cWMmTpyYIwfLTTfd5M3BcqFNmzaxYsUK2rZtS40aNXzqjB49mrlz51KqVCmmTp1K1apVC7wv8u+s2LOZG6Mbcn3Vuvy0/fz+7jazlaaVavHnkf2kZKZ56/ZtfiutqtXPEeBoXf06zqQlsz2Xmd3Znu90P3GnjjHj94UAmI3mc/81eev4ma3XTE5Rv1qe4F/6xnWXqOmr2KChpK1bTfq6c0nkz32wbDCdH0ej1YbzWhnIC6RtWEdoh04ENmhE6upVPsf8Y2vittvJ3Lsnz/NLPvwIKWt+J3W1Z1ul7DE1XDARwWC1Fb3Et2YLtvtfwhRVA+eezWROfR7O/bu/kGvfH5jrt8ZYpQ6u3Rt9jhnLV8PtdOC6SJDT0qEPzt2bcO3e5CnIfs1e8AwwmK0+22EVehYrwY+/jqVqTezbN5I8ZjjujJxjG9RvBMbiZTg9+Fbcqb7veUyRnt+lzuN5b9sVcNcA7NvW49i2/txJOZ8LBosVV1EaW+ChT3YSaDWx7PHrMBl9/xLZeTwNA1AuzI8e0/7kyJkslj9xHWF/STy+47jn51Eh3EZe3l0ST5OKITSr7AmkOM9tiee8YGu8TIe7qP8tlMOp39dTvFVTIpo35MSSld5yo81KeMN6JG/fgzMl75WdMSMf5cSy3zm57Nwz1+x5vRrNF/w+s9mK1jNBREREROQKyrctqqxWKyVLlrx0xXxw9uxZevfuzbJly4iNjWXOnDmULes7M7JixYqcPHmSjFxmtR4+fBij0UhUVFSBtnPatGmMHz/e52vt2rXe9iUkJOS6tVT2dlSRkZ6ZXdntzG3FR3aScz8/v4LqRqExZswYNm7cSP369ZkyZUquCeZvuukmhgwZkuPr+uuv9zmenb/l559/Zvr06YSFhTFr1iwFNwqJ2Wt/wOF08EKnfj5bTz3dvjeh/kFMXjHfWzZ/83KS0lMZdnMPwgPOr5Dq06wz0aWi+HDlgjw/hKhWsgK9mnTghe8+xOlyArA74RBOl5OmlT3brpiMJhpG1WBXwsVzExUVtuqemcAZ2/647HP8GzYhoGETTk56z1u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      "text/plain": [
       "<Figure size 864x576 with 3 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 568,
       "width": 796
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the retention matrix\n",
    "with sns.axes_style(\"white\"):\n",
    "    fig, ax = plt.subplots(1, 2, figsize=(12, 8), sharey=True, gridspec_kw={'width_ratios': [1, 11]})\n",
    "    \n",
    "    # retention matrix\n",
    "    sns.heatmap(retention_matrix, \n",
    "                mask=retention_matrix.isnull(), \n",
    "                annot=True, \n",
    "                fmt='.0%', \n",
    "                cmap='RdYlGn', \n",
    "                ax=ax[1])\n",
    "    ax[1].set_title('Monthly Cohorts: User Retention', fontsize=16)\n",
    "    ax[1].set(xlabel='# of periods',\n",
    "              ylabel='')\n",
    "\n",
    "    # cohort size\n",
    "    cohort_size_df = pd.DataFrame(cohort_size).rename(columns={0: 'cohort_size'})\n",
    "    white_cmap = mcolors.ListedColormap(['white'])\n",
    "    sns.heatmap(cohort_size_df, \n",
    "                annot=True, \n",
    "                cbar=False, \n",
    "                fmt='g', \n",
    "                cmap=white_cmap, \n",
    "                ax=ax[0])\n",
    "\n",
    "    fig.tight_layout()"
   ]
  }
 ],
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